Tim J. Menzies

Q: What Schools Are Affiliated With Tim J. Menzies

Tim J. Menzies is affiliated with the following schools: Portland State University, North Carolina State University, West Virginia University

Tim J. Menzies's AcademicInfluence.com Rankings

Tim J. Menzies

Computer Science

#4094

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#4310

Historical Rank

Software Engineering

#110

World Rank

#110

Historical Rank

Database

#1329

World Rank

#1401

Historical Rank

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Computer Science

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Tim J. Menzies's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Data Mining Static Code Attributes to Learn Defect Predictors (2007) (1387)
\{PROMISE\} Repository of empirical software engineering data (2007) (678)
On the relative value of cross-company and within-company data for defect prediction (2009) (604)
Defect prediction from static code features: current results, limitations, new approaches (2010) (405)
The \{PROMISE\} Repository of Software Engineering Databases. (2005) (388)
Heterogeneous Defect Prediction (2015) (314)
Automated severity assessment of software defect reports (2008) (296)
Selecting Best Practices for Effort Estimation (2006) (274)
On the Value of Ensemble Effort Estimation (2012) (251)
Local versus Global Lessons for Defect Prediction and Effort Estimation (2013) (231)
On the value of user preferences in search-based software engineering: A case study in software product lines (2013) (230)
Automatic query reformulations for text retrieval in software engineering (2013) (211)
Tuning for Software Analytics: is it Really Necessary? (2016) (198)
Exploiting the Essential Assumptions of Analogy-Based Effort Estimation (2012) (198)
Better cross company defect prediction (2013) (197)
On the use of relevance feedback in IR-based concept location (2009) (183)
Implications of ceiling effects in defect predictors (2008) (176)
Local vs. global models for effort estimation and defect prediction (2011) (172)
What is wrong with topic modeling? And how to fix it using search-based software engineering (2016) (171)
Easy over hard: a case study on deep learning (2017) (158)
Scalable product line configuration: A straw to break the camel's back (2013) (156)
Knowledge maintenance: the state of the art (1999) (142)
Finding the right data for software cost modeling (2005) (142)
Comparing design and code metrics for software quality prediction (2008) (140)
Software effort models should be assessed via leave-one-out validation (2013) (138)
Fault Prediction using Early Lifecycle Data (2007) (134)
Software Analytics: So What? (2013) (131)
Balancing Privacy and Utility in Cross-Company Defect Prediction (2013) (121)
A Deep Learning Model for Estimating Story Points (2016) (121)
Special issue on repeatable results in software engineering prediction (2012) (118)
Data Mining for Very Busy People (2003) (117)
Learning from Open-Source Projects: An Empirical Study on Defect Prediction (2013) (110)
Feature subset selection can improve software cost estimation accuracy (2005) (110)
Validation methods for calibrating software effort models (2005) (109)
Is "Better Data" Better Than "Better Data Miners"? (2017) (106)
Assessing Predictors of Software Defects (2004) (103)
Using bad learners to find good configurations (2017) (100)
Revisiting unsupervised learning for defect prediction (2017) (98)
"Better Data" is Better than "Better Data Miners" (Benefits of Tuning SMOTE for Defect Prediction) (2017) (97)
Converging on the optimal attainment of requirements (2002) (96)
Learning patterns of university student retention (2011) (95)
Finding Faster Configurations Using FLASH (2018) (94)
Transfer learning in effort estimation (2015) (93)
Applications of abduction: knowledge-level modelling (1996) (92)
Active learning and effort estimation: Finding the essential content of software effort estimation data (2013) (90)
Can data transformation help in the detection of fault-prone modules? (2008) (87)
Genetic Algorithms for Randomized Unit Testing (2011) (87)
Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry (2010) (84)
Variance Analysis in Software Fault Prediction Models (2009) (83)
Metrics that matter (2002) (82)
LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction (2015) (79)
The Art and Science of Analyzing Software Data (2015) (78)
Finding conclusion stability for selecting the best effort predictor in software effort estimation (2013) (74)
How good is your blind spot sampling policy (2004) (73)
Privacy and utility for defect prediction: Experiments with MORPH (2012) (72)
Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM (2017) (71)
Bellwethers: A Baseline Method for Transfer Learning (2017) (66)
Too much automation? The bellwether effect and its implications for transfer learning (2016) (65)
Applications of abduction: hypothesis testing of neuroendocrinological qualitative compartmental models (1997) (64)
Verification and Validation and Artificial Intelligence (2005) (64)
An empirical investigation of multiple viewpoint reasoning in requirements engineering (1999) (63)
Cost Curve Evaluation of Fault Prediction Models (2008) (62)
Class level fault prediction using software clustering (2013) (62)
When to use data from other projects for effort estimation (2010) (61)
Nighthawk: a two-level genetic-random unit test data generator (2007) (60)
500+ Times Faster than Deep Learning: (A Case Study Exploring Faster Methods for Text Mining StackOverflow) (2018) (58)
How to Find Relevant Data for Effort Estimation? (2011) (58)
Sharing Data and Models in Software Engineering (2014) (58)
Negative results for software effort estimation (2016) (58)
Fairway: a way to build fair ML software (2020) (57)
Faster discovery of faster system configurations with spectral learning (2017) (55)
Practical large scale what-if queries: case studies with software risk assessment (2000) (53)
Perspectives on Data Science for Software Engineering (2016) (53)
Bias in machine learning software: why? how? what to do? (2021) (53)
Experiences using Visualization Techniques to Present Requirements, Risks to Them, and Options for Risk Mitigation (2006) (50)
Principles for generalised testing of knowledge bases (1996) (49)
“Sampling” as a Baseline Optimizer for Search-Based Software Engineering (2016) (49)
Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors? (2016) (48)
Stable rankings for different effort models (2010) (48)
The business case for automated software engineering (2007) (47)
Optimum feature selection in software product lines: Let your model and values guide your search (2013) (46)
Finding better active learners for faster literature reviews (2016) (46)
Kernel methods for software effort estimation (2013) (45)
How to “DODGE” Complex Software Analytics (2019) (45)
Using Simulation to Investigate Requirements Prioritization Strategies (2008) (44)
Problems with Precision (2007) (42)
More Success and Failure Factors in Software Reuse (2003) (42)
When can we test less? (2003) (42)
When to Test Less (2000) (41)
Optimizing requirements decisions with keys (2008) (41)
We Don't Need Another Hero?: The Impact of "Heroes" on Software Development (2017) (40)
Hyperparameter Optimization for Effort Estimation (2018) (40)
Cost benefits of ontologies (1999) (40)
Model-based tests of truisms (2002) (39)
On the Practicality of Abductive Validation (1996) (39)
Lurch: a Lightweight Alternative to Model Checking (2003) (38)
Practical Machine Learning for Software Engineering and Knowledge Engineering (2000) (38)
Applications of psychological science for actionable analytics (2018) (37)
Many Maybes Mean (Mostly) the Same Thing (2004) (37)
The Strangest Thing About Software (2007) (37)
GALE: Geometric Active Learning for Search-Based Software Engineering (2015) (36)
Adequacy of Limited Testing for Knowledge Based Systems (2000) (36)
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction) (2019) (35)
Micky: A Cheaper Alternative for Selecting Cloud Instances (2018) (34)
A Broad, Quantitative Model for Making Early Requirements Decisions (2008) (33)
Bad Smells in Software Analytics Papers (2018) (33)
The Five Laws of SE for AI (2020) (33)
Condensing Uncertainty via Incremental Treatment Learning (2003) (32)
Distributed development considered harmful? (2013) (32)
Scout: An Experienced Guide to Find the Best Cloud Configuration (2018) (32)
Towards situated knowledge acquisition (1998) (31)
Automatically finding the control variables for complex system behavior (2010) (31)
Improving Vulnerability Inspection Efficiency Using Active Learning (2018) (31)
On Parameter Tuning in Search Based Software Engineering: A Replicated Empirical Study (2013) (30)
Saturation effects in testing of formal models (2002) (30)
How to avoid drastic software process change (using stochastic stability) (2009) (30)
Testing nondeterminate systems (2000) (30)
Better software analytics via “DUO”: Data mining algorithms using/used-by optimizers (2018) (29)
Making Fair ML Software using Trustworthy Explanation (2020) (29)
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization (2019) (29)
Optimizing spacecraft design optimization engine development: progress and plans (2003) (29)
Finding Trends in Software Research (2023) (29)
PARAMETRIC ANALYSIS OF ANTARES RE-ENTRY GUIDANCE ALGORITHMS USING ADVANCED TEST GENERATION AND DATA ANALYSIS (2008) (29)
Fewer Slices of PIE: Optimising Mutation Testing via Abduction (1999) (29)
Evidence-based cost estimation better-quality for software (2006) (28)
What is the Connection Between Issues, Bugs, and Enhancements? (2017) (28)
On the value of learning from defect dense components for software defect prediction (2010) (28)
Mining Repositories to Assist in Project Planning and Resource Allocation (2004) (27)
The (Extensive) Implications of Evaluation on the Development of Knowledge-Based Systems (1995) (27)
Images don't lie: Duplicate crowdtesting reports detection with screenshot information (2019) (27)
Feature Subset Selection Can Improve Software Cost Estimation (2005) (27)
The inductive software engineering manifesto: principles for industrial data mining (2011) (27)
Text is Software Too (2004) (26)
What is Wrong with Topic Modeling? (and How to Fix it Using Search-based SE) (2016) (26)
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach (2020) (26)
Meta-knowledge in systems design: panacea … or undelivered promise? (2000) (26)
Evaluation Issues for Problem Solving Methods (1998) (25)
Simple software cost analysis (2005) (25)
Trends in Topics at SE Conferences (1993-2013) (2016) (25)
Learning early lifecycle IV & V quality indicators (2003) (24)
FAST2: An intelligent assistant for finding relevant papers (2017) (24)
TERMINATOR: better automated UI test case prioritization (2019) (24)
Building a second opinion: learning cross-company data (2013) (23)
Beyond evolutionary algorithms for search-based software engineering (2017) (23)
Data-Driven Search-Based Software Engineering (2018) (23)
Editorial: Evaluating knowledge engineering techniques (1999) (22)
Evaluation Issues with Critical Success Metrics (1998) (22)
Sharing experiments using open‐source software (2011) (22)
Less is more: Minimizing code reorganization using XTREE (2016) (22)
Case-based reasoning vs parametric models for software quality optimization (2010) (22)
Better Predictors for Issue Lifetime (2017) (22)
Machine learning for software engineering: case studies in software reuse (2002) (22)
Accurate estimates without local data? (2009) (22)
Assessing Practitioner Beliefs about Software Defect Prediction (2019) (22)
On the Value of Oversampling for Deep Learning in Software Defect Prediction (2021) (21)
Object-Oriented Patterns: Lessons from Expert Systems (1997) (21)
Software is data too (2010) (20)
Replication Can Improve Prior Results: A GitHub Study of Pull Request Acceptance (2019) (20)
Actionable Analytics for Software Engineering (2018) (20)
Topic Modeling of NASA Space System Problem Reports: Research in Practice (2016) (20)
Guest Editor's Introduction: 21st Century AI--Proud, Not Smug (2003) (20)
Reduced-Item Food Audits Based on the Nutrition Environment Measures Surveys. (2015) (20)
How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews (2016) (19)
Simple Software Cost Estimation: Safe or Unsafe? (2005) (19)
Validating an online adaptive system using SVDD (2003) (19)
Evaluation Issues for Visual Programming Languages (2000) (19)
On the advantages of approximate vs. complete verification: bigger models, faster, less memory, usually accurate (2003) (19)
Text mining in supporting software systems risk assurance (2010) (19)
Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle (2016) (19)
Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE (2019) (18)
The Unreasonable Effectiveness of Software Analytics (2018) (18)
Fast formal analysis of requirements via "topoi diagrams" (2001) (18)
Reusing Models For Requirements Engineering (2001) (17)
The Methodology of Methodologies; or, Evaluating Current Methodologies: Why and How (1995) (17)
Software Analytics: What’s Next? (2018) (17)
XOMO: Understanding Development Options for Autonomy (2005) (17)
Just enough learning (of association rules): the TAR2 “Treatment” learner (2006) (17)
Matching software practitioner needs to researcher activities (2003) (17)
Data Mining Methods and Cost Estimation Models: Why is it So Hard to Infuse New Ideas? (2015) (17)
Constraining discussions in requirements engineering (2001) (17)
An alternative to model checking: verification by random search of AND-OR graphs representing finite-state models (2002) (17)
Understanding the Value of Software Engineering Technologies (2009) (17)
A Ranking Stability Indicator for Selecting the Best Effort Estimator in Software Cost Estimation (2011) (16)
Editorial: the challenge of situated cognition for symbolic knowledge-based systems (1998) (16)
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing (2021) (16)
Regularities in Learning Defect Predictors (2010) (16)
How simple is software defect detection (2003) (16)
Better Security Bug Report Classification via Hyperparameter Optimization (2019) (16)
Simulations for very early lifecycle quality evaluations (2002) (16)
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When? (2020) (15)
Learning Better Inspection Optimization Policies (2012) (15)
Goldfish bowl panel: Software development analytics (2012) (15)
Parametric Analysis of a Hover Test Vehicle using Advanced Test Generation and Data Analysis (2009) (15)
Evaluating a Qualitative Reasoner (1997) (15)
Knowledge Elicitation: the State of the Art (2000) (14)
Situated Semantics is a Side-Effect of the Computational Complexity of Abduction (1995) (14)
How Many Tests are Enough (2000) (14)
Applications of Abduction: Testing Very Long Qualitative Simulations (2002) (14)
Critical success metrics: evaluation at the business level (1999) (13)
2CEE, A TWENTY FIRST CENTURY EFFORT ESTIMATION METHODOLOGY (2008) (13)
Data sniffing - monitoring of machine learning for online adaptive systems (2002) (13)
Better reasoning about software engineering activities (2001) (13)
The AI Effect: Working at the Intersection of AI and SE (2020) (13)
Cutting Away the Confusion From Crowdtesting (2018) (13)
Learning to change projects (2012) (13)
Limits to Knowledge Level-B Modeling (and KADS) (1995) (12)
\{O\}\{O\} Patterns: Lessons from Expert Systems (1997) (12)
Tool Support for Parametric Analysis of Large Software Simulation Systems (2008) (12)
Optimizing data collection for public health decisions: a data mining approach (2014) (12)
Using Causality as a Generic Knowledge Representation, or Why and How Centralised Knowledge Servers (1992) (12)
Size doesn't matter?: on the value of software size features for effort estimation (2012) (12)
Better Analysis of Defect Data at NASA (2002) (12)
An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE (2016) (12)
A Graph Theoretic Optimisation of Temporal Abductive Validation (1997) (12)
Improved Software Engineering Decision Support Through Automatic Argument Reduction Tools (2003) (12)
On the value of combining feature subset selection with genetic algorithms: faster learning of coverage models (2009) (12)
Software V&V support by parametric analysis of large software simulation systems (2009) (12)
Early Life Cycle Software Defect Prediction. Why? How? (2020) (11)
Software Development Analytics (Dagstuhl Seminar 14261) (2014) (11)
Mining Workflows for Anomalous Data Transfers (2021) (11)
Nearest neighbor sampling for cross company defect predictors: abstract only (2008) (11)
iSENSE: Completion-Aware Crowdtesting Management (2019) (11)
Software development cost estimation (2005) (11)
Transfer Learning with Bellwethers to find Good Configurations (2018) (11)
Column Pruning Beats Stratification in Effort Estimation (2007) (11)
Revisiting process versus product metrics: a large scale analysis (2020) (11)
AI-Driven Development Is Here: Should You Worry? (2022) (11)
TMAP: Discovering relevant API methods through text mining of API documentation (2017) (11)
Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer) (2020) (11)
Constraining Discussions in Requirements Engineering via Models (2001) (11)
Can we build software faster and better and cheaper? (2009) (11)
Beyond data mining; towards "idea engineering" (2013) (11)
Applications of Simulation and AI Search: Assessing the Relative Merits of Agile vs Traditional Software Development (2009) (11)
Aspects of Replayability and Software Engineering: Towards a Methodology of Developing Games (2012) (10)
Evaluating the Impact of a New Technology Using Simulation: The Case for Mining Software Repositorie (2005) (10)
Explanation vs Performance in Data Mining: A Case Study with Predicting Runaway Projects (2009) (10)
How to Read Less: On the Benefit of Active Learning for Primary Study Selection in Systematic Literature Reviews (2016) (10)
On the Relative Merits of Software Reuse (2009) (10)
Studies of Confidence in Software Cost Estimation Research Based on the Criterions MMRE and PRED Dan Port ( UHawaii ) (2009) (10)
Understanding static code warnings: An incremental AI approach (2019) (10)
A second look at Faster, Better, Cheaper (2010) (10)
Learning Project Management Decisions: A Case Study with Case-Based Reasoning versus Data Farming (2013) (10)
Simpler Transfer Learning (Using "Bellwethers") (2017) (10)
Finding robust solutions in requirements models (2010) (10)
Incremental Development of Fault Prediction Models (2013) (9)
How to Recognize Actionable Static Code Warnings (Using Linear SVMs) (2020) (9)
Improving and expanding NASA software cost estimation methods (2016) (9)
Editorial: model-based requirements engineering (2003) (9)
“SHORT”er Reasoning About Larger Requirements Models (2017) (9)
A PRECISE SEMANTICS FOR VAGUE DIAGRAMS (1994) (9)
What makes finite-state models more (or less) testable? (2002) (9)
Making Sense of Requirements, Sooner (2006) (9)
Cost-aware Vulnerability Prediction: the HARMLESS Approach (2018) (9)
Case-Based Reasoning for Reducing Software Development Effort (2010) (9)
Defect Reduction Planning (Using TimeLIME) (2020) (9)
How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization) (2019) (9)
FRUGAL: Unlocking SSL for Software Analytics (2021) (9)
Why Software Projects need Heroes (Lessons Learned from 1100+ Projects) (2019) (9)
Applications of Abduction #2: Knowledge-level Modeling (1995) (9)
On the Value of Stochastic Abduction (if you fix everything, you lose fixes for everything else) (2007) (9)
Learning better IV&V practices (2008) (9)
Issues with Meta-Knowledge (2000) (9)
FAST2: a Better Text Miner for Faster Understanding of the SE Literature (2017) (9)
Software Feature Model recommendations using data mining (2012) (8)
Application of a broad-spectrum quantitative requirements model to early-lifecycle decision making (2007) (8)
Accurate Estimates without Calibration? (2008) (8)
RIOT: A Stochastic-Based Method for Workflow Scheduling in the Cloud (2017) (8)
Specialization and extrapolation of software cost models (2005) (8)
When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time (2021) (8)
Beyond Data Mining (2013) (8)
FLASH: A Faster Optimizer for SBSE Tasks (2017) (8)
On the sufficiency of limited testing for knowledge based systems (1999) (8)
Empirical Observations of Class-level Encapsulation and Inheritance (1996) (8)
Total recall, language processing, and software engineering (2018) (8)
Improved Recognition of Security Bugs via Dual Hyperparameter Optimization (2019) (8)
Bayesian Anomaly Detection (2006) (8)
VISUALISATIONS OF LARGE OBJECT-ORIENTED SYSTEMS (1996) (8)
Predictor models in software engineering (PROMISE) (2005) (8)
Data science for software engineering (2013) (8)
Learning to recognize actionable static code warnings (is intrinsically easy) (2020) (7)
The Quest for Convincing Evidence (2011) (7)
PyTorrent: A Python Library Corpus for Large-scale Language Models (2021) (7)
Sharing Data: Challenges and Methods (2015) (7)
Predicting breakdowns in cloud services (with SPIKE) (2019) (7)
Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting (2017) (7)
On the Practicality of Viewpoint-Based Requirements Engineering (1998) (7)
Applications of Abduction \#1: Intelligent Decision Support Systems. (1995) (7)
Relating practitioner needs to research activities (2003) (7)
Proceedings of the 6th International Conference on Predictive Models in Software Engineering (2010) (7)
Cross- vs Within-Company Defect Prediction Studies (2007) (7)
Learning Mitigations for Pilot Issues When Landing Aircraft (via Multiobjective Optimization and Multiagent Simulations) (2016) (7)
How To Keep Your Data Private (2015) (7)
How to Argue Less (2001) (7)
Improving IV&V Techniques Through the Analysis of Project Anomalies: Text Mining PITS issue reports - preliminary report (2006) (7)
Specialization and Extrapolation of Induced Domain Models: Case Studies in Software Effort Estimatio (2005) (7)
Intelligent Testing can be Very Lazy (2000) (7)
Is AI different for SE? (2019) (6)
Learning actionable analytics from multiple software projects (2017) (6)
Sequential Model Optimization for Software Effort Estimation (2020) (6)
Value-Based Design of Software V&V Processes for NASA Flight Projects (2007) (6)
A Micro-Computer, Rule-Based Prolog Expert-System for Process Control in a Petrochemical Plant (1987) (6)
A decision support tool for tuning parameters in a machine learning algorithm (1997) (6)
Replicating and Scaling up Qualitative Analysis using Crowdsourcing: A Github-based Case Study (2017) (6)
Past, Present, and Future of Analyzing Software Data (2015) (6)
How to build repeatable experiments (2009) (6)
Impacts of Bad ESP (Early Size Predictions) on Software Effort Estimation (2016) (6)
Predictive models in software engineering (2013) (6)
QUALITATIVE COMPARTMENTAL MODELLING (1992) (6)
hQkb- The High Quality Knowledge Base Initiative (Sisyphus V: Learning Design Assessment Knowledge) (1999) (6)
Model-Based Software Testing via Treatment Learning (2003) (6)
Fair Enough: Searching for Sufficient Measures of Fairness (2021) (6)
Feature Subset Selection with TAR2less (2003) (6)
The Art and Science of Analyzing Software Data; Quantitative Methods (2015) (6)
Agents in a Wild World (2006) (6)
Providing software engineering students with an experience in "big-computing" (1994) (6)
Learning the Task Management Space of an Aircraft Approach Model (2014) (6)
On the shoulders of giants (2010) (6)
Combining Heuristics and Simulation Models: An Expert System for the Optimal Management of Pigs (1988) (5)
Can We Achieve Fairness Using Semi-Supervised Learning? (2021) (5)
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering (2012) (5)
The Many Faces of Software Analytics (2013) (5)
Smarter software engineering: practical data mining approaches (2002) (5)
FAST$^2$: Better Automated Support for Finding Relevant SE Research Papers (2017) (5)
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning (2022) (5)
Guest editorial for the Special Section on BEST PAPERS from the 2011 conference on Predictive Models in Software Engineering (PROMISE) (2013) (5)
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard (2021) (5)
VEER: Disagreement-Free Multi-objective Configuration (2021) (5)
Finding Faults Quickly in Formal Models using Random Search (2003) (5)
An Expert System for Raising Pigs (2007) (5)
Extending Knowledge Engineering to Requirements Engineering from Multiple Perspectives (2007) (5)
An ongoing OO software engineering measurement experiment (1996) (5)
Better Technical Debt Detection via SURVEYing (2019) (5)
Expert System Maintenance (1995) (5)
The Changing Nature of Computational Science Software (2020) (5)
Learning to Reduce Risks with COCOMO-II (2000) (5)
First contract: better, earlier, decisions for software projects (2001) (5)
Exploring the Effort of General Software Project Activities with Data Mining (2011) (4)
Using The Size of Classes and Methods as the Basisfor Early E ort Prediction ; Empirical Observations , Initial Application ; A Practitioners Experience (1995) (4)
ASCoT, the NASA Analogy Software Cost Tool Suite: Expanding Our Estimation Horizons Jet Propulsion Laboratory, California Institute of Technology Pasadena, CA 91109 (2019) (4)
SE/KE Reuse Research: Common Themes and Empirical Results (2002) (4)
Guest Editorial for the Special Section from the 9th International Symposium on Search Based Software Engineering (2018) (4)
Combining complementary formal verification strategies to improve performance and accuracy (2007) (4)
Isa Object Part-of Knowledge Representation? (1990) (4)
Incremental Discreatization and Bayes Classifiers Handles Concept Drift and Scaled Very Well (2005) (4)
Some prolog macros for rule-based programming: why? how? (2002) (4)
The Secret to Better AI and Better Software (Is Requirements Engineering) (2022) (4)
Maintaining Maintainability = Recognizing Reachability (2000) (4)
FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes (2021) (4)
An empirical investigation of reasoning reasoning with multiple viewpoints (1999) (4)
Report from the first international workshop on realizing artificial intelligence synergies in software engineering (RAISE 2012) (2012) (4)
How AI Can Help SE; or: Randomized Search Not Considered Harmful (2001) (4)
Extending the SISYPHUS III Experiment from a Knowledge Engineering Task to a Requirements Engineering Task (2007) (4)
Visual Programming, Knowledge Engineering, and Software Engineering (1996) (4)
Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review (2019) (4)
Inventing Causal Qualitative Models: A Tool for Experimental Research (1992) (4)
Occam's Razor and Simple Software Project Management (2014) (4)
Building Better Quality Predictors Using "ε-Dominance" (2018) (4)
Omni: automated ensemble with unexpected models against adversarial evasion attack (2020) (4)
Machine Learning for Requirements Engineering (2001) (4)
Actionable = Cluster + Contrast? (2015) (4)
Complexity: Using Assemblies of Multiple Models (2015) (4)
Trends in Topics in Software Engineering (2016) (4)
Is "Sampling" better than "Evolution" for Search-based Software Engineering? (2016) (4)
Smaller, Faster Dialogues via Conversational Probing (1999) (4)
What Is an Agent and Why Should I Care? (2002) (4)
Using Stakeholder Preferences to Make Better Architecture Decisions (2017) (4)
Knowledge Maintenance Heresies: Meta-Knowledge Complicates KM (1999) (4)
Does Transformation Help (2008) (4)
On the Distribution of Property Violations in Formal Models: An Initial Study (2006) (3)
RIOT: a Novel Stochastic Method for Rapidly Configuring Cloud-Based Workflows (2017) (3)
The Mysterious Case of the Missing Reusable Class Libraries (1993) (3)
Domain-specific knowledge representation (1989) (3)
Frameworks for Assessing Visual Languages (1995) (3)
Worlds in Prolog (1987) (3)
Assessing practitioner beliefs about software engineering (2020) (3)
Using Goals in Model-Based Reasoning (2015) (3)
Evaluating Conceptual Qualitative Modeling Languages (1998) (3)
The complexity of TRMCS-like spiral specification (2000) (3)
Assessing Developer Beliefs: A Reply to "Perceptions, Expectations, and Challenges in Defect Prediction" (2019) (3)
Detecting Novelties by Mining Association Rules (2003) (3)
Software Development Analytics (2014) (3)
xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes (2021) (3)
Ensembles of Learning Machines (2015) (3)
The Business Case for Defect Logging (2004) (3)
LEAN = (LURCH+TAR3) = Reusable Modeling Tools (2004) (3)
Software Engineering’s Top Topics, Trends, and Researchers (2018) (3)
Learning IV&V Strategies (2006) (3)
Applications of Abduction: A Unified Framework for Software and Knowledge Engineering (1998) (3)
"C++ is Better Than Smalltalk"?? (1993) (3)
Documenting evidence of a reuse of ‘“why should I trust you?”: explaining the predictions of any classifier’ (2021) (3)
Learning Tiny Theories (2005) (3)
An Overview of Abduction as aGeneral Framework for Knowledge-Based Systems (1995) (3)
Sequential Model Optimization for Software Process Control (2019) (3)
Do I really need all this work to find vulnerabilities? (2022) (3)
Using The Size of Classes and Methods as the Basis for Early Effort Prediction; Empirical Observatio (1995) (3)
Lessons learned from hyper-parameter tuning for microservice candidate identification (2021) (3)
Average Case Coverage for Validation of AI Systems (2001) (3)
Guest editorial: learning to organize testing (2012) (3)
Special issue on information retrieval for program comprehension (2009) (3)
4th international workshop on predictor models in SE (PROMISE 2008) (2008) (3)
Shockingly Simple:"KEYS" for Better AI for SE (2021) (2)
Agents Talking Faster (2000) (2)
From Prediction to Planning: Improving Software Quality with BELLTREE (2017) (2)
RAPTURE/SP2: Efficient Testing of Temporal Properties Without Search Space Explosion (1999) (2)
Smaller, Faster Agent Dialogues via Conversational Probing (1999) (2)
Evaluating a Temporal Causal Ontology (1997) (2)
Assessing Responses to Situated CognitionTim MenziesDept (1996) (2)
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue (2022) (2)
Compensating for Missing Data (2015) (2)
Why Software Effort Estimation Needs SBSE (2018) (2)
How to Improve Deep Learning for Software Analytics (a case study with code smell detection) (2022) (2)
The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors (2021) (2)
An empirical investigation of reasoning with multiple viewpoints (1999) (2)
Applications of Abduction \#3: ``Black-Box'' to ``Gray-Box'' Model (1995) (2)
iSENSE2.0 (2020) (2)
Real-time Optimization of Requirements Models (2008) (2)
How to Improve AI Tools (by Adding in SE Knowledge): Experiments with the TimeLIME Defect Reduction Tool (2020) (2)
Expert Systems Inference = Modeling Conflicts (1996) (2)
Many MaybesMean ( Mostly ) the SameThing (2000) (2)
Overcoming Ceiling Effects in Defect Prediction (2008) (2)
Predicting health indicators for open source projects (using hyperparameter optimization) (2020) (2)
Assessing expert system-assisted literature reviews with a case study (2019) (2)
Expert Perspectives on AI (2020) (2)
Vague Models and Their Implications for the KBS Design Cycle (1996) (2)
Quality Metrics: Test Coverage Analysis for Smalltalk (2000) (2)
Correlation is not causation (or, when not to scream "Eureka!") (2016) (2)
Isa Object Partof Data Modeling? (1995) (2)
Artificial Intelligence and Software Engineering: Are We Ready? (2022) (2)
Exhaustive Abduction: A Practical Model Validation Tool (2007) (2)
Building Better Quality Predictors Using "$\epsilon$-Dominance" (2018) (2)
Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering (2011) (2)
Qualitative Modeling for Requirements Engineering (2006) (2)
Appropriate Responses to the Challenge of Situated Cognition for Knowledge Acquisition (1996) (2)
How Different is Test Case Prioritization for Open and Closed Source Projects? (2020) (2)
Proceedings of the First International Workshop on BIG Data Software Engineering (2015) (2)
You Seem Friendly, But Can I Trust You? (2002) (2)
Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health) (2019) (2)
How to Edit "It"; or: A "Black-box" Constraint-Based Framework for User-Interaction with Arbitrary Structures (1993) (2)
Data Mining from Process Models (2004) (2)
Power system state recognition using data mining algorithms (2013) (2)
A tuning aid for discretization in rule induction (1997) (2)
Crowdsourcing the State of the Art(ifacts) (2021) (2)
"How Not to Do It": Anti-patterns for Data Science in Software Engineering (2016) (2)
Model-based software testing via incremental treatment learning (2003) (2)
Is-a Object Part-of Knowledge Representation (Part 2) (1992) (1)
Incremental Discretization and Bayes Classifiers Handles Concept Drift and Scales Very Well (2005) (1)
Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge? (2017) (1)
Improving IV&V Techniques Through the Analysis of Project Anomalies: Bayes networks - preliminary report (2006) (1)
Lower Bounds on the Size of Test Data Sets (1998) (1)
Building Very Small Test Suites (with Snap). (2019) (1)
FairBalance: Improving Machine Learning Fairness on Multiple Sensitive Attributes With Data Balancing (2021) (1)
Software Engineering Research/Developer Collaborations (2004) (1)
Applictions of Computational Intelligence to Quantitative Software Engineering (2001) (1)
An expert system for redesigning software for cloud applications (2021) (1)
Communication and Code Dependency Effects on Software Code Quality (an Empirical Analysis of Herbsleb Hypothesis) (2019) (1)
Predicting the Future of Predictive Modeling (2012) (1)
Do I really need all this work to find vulnerabilities? (2022) (1)
An Investigation of AI and Expert Systems Literature: 1980-1984 (1989) (1)
The NASA analogy software cost model: A web-based cost analysis tool (2017) (1)
A Fast Search for Temporal Properties of Requirements (2002) (1)
When You Don't Need to Re-Test the System (1999) (1)
1st International workshop on data analysis patterns in software engineering (DAPSE 2013) (2013) (1)
Chapter 21 – How to Adapt Models in a Dynamic World (2015) (1)
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications (2018) (1)
1st International Workshop on Big Data Software Engineering (BIGDSE 2015) (2015) (1)
Improving IV&V Techniques Through the Analysis of Project Anomalies: LINKER - preliminary report (2007) (1)
Nondeterminism : Unsafe ? (2004) (1)
From Voice of Evidence to Redirections (2017) (1)
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs (2022) (1)
Fairway: SE Principles for Building Fairer Software (2020) (1)
Documenting evidence of a reproduction of ‘is there a “golden” feature set for static warning identification? — an experimental evaluation’ (2021) (1)
When to test less [software testing] (2000) (1)
Preference Discovery in Large Product Lines (2021) (1)
Software Estimation Models:When is Enough Data Enough? (2004) (1)
Knowledge Acquisition for Performance Systems; or: When can "Tests" Replace "Tasks"? (2007) (1)
Crowdtesting : When is The Party Over? (2018) (1)
Old but Gold: Reconsidering the value of feedforward learners for software analytics (2021) (1)
MAINTAINING PROCEDURAL KNOWLEDGE: RIPPLE-DOWN-FUNCTIONS (2007) (1)
Software Effort Estimation and Conclusion Stability (2007) (1)
Comparing and Generalising Models for Metrics Repositories (1996) (1)
When is Pair Programming Better (2003) (1)
Analyzing software data: after the gold rush (a goldfish-bowl panel) (2014) (1)
Better Metrics for Ranking SE Researchers (2018) (1)
Brahms: Simulating Practice for Work Systems Design (2019) (1)
Reports on the AAAI 1999 Workshop Program (2000) (1)
Assessing Practitioner Beliefs (2019) (1)
Combining Heuristics with Simulation Models: An Expert System for the Optimal Management of Pig (1988) (1)
Trends in Topics in Software Engineering Conferences, 1992 to 2016 (2016) (1)
Generalised Test = Generalised Inference (1996) (1)
Taming Chatter with Relevant Envisionments (1998) (1)
Is Continuous Compliance Assurance Possible? (2009) (1)
Reverse Engineering a Software Engineering Curriculum (1995) (1)
Validating Inconsistent Requirements Models using Graph-based Abduction (2001) (1)
2nd International workshop on realizing artificial intelligence synergies in software engineering (RAISE 2013) (2013) (1)
"Doing" Agile versus "Being" Agile. Empirical Results from 250+ Projects (2017) (1)
A principled methodology: a dozen principles of software effort estimation (2012) (1)
Faster Multi-Goal Simulation-Based Testing Using DoLesS (Domination with Least Square Approximation) (2021) (1)
NASA Software Cost Estimation Model: An Analogy Based Estimation Model (2015) (1)
Improving Deep Learning for Defect Prediction (using the GHOST Hyperparameter Optimizer). (2020) (1)
Partitioning Cloud-based Microservices (via Deep Learning) (2021) (1)
God Does Play Dice: Diagnosis and Validation for Autonomous Systems (2004) (1)
Empirically, how Hard is it to Test AI Software? (2001) (1)
WISE/sup 3/: the third international workshop on intelligent software engineering (2000) (1)
What is "Enough" Quality for Data Repositories? (2011) (1)
How to Share Experiments (2009) (0)
Problems with Patterns (1995) (0)
Next Generation "Treatment Learning" (finding the diamonds in the dust) (2005) (0)
Editorial, special issue, repeatable experiments in software engineering (2008) (0)
Desert Island Column (1999) (0)
Negative results for software effort estimation (2016) (0)
Effective Automated Decision Support for Managing Crowdtesting (2018) (0)
Better software analytics via “DUO”: Data mining algorithms using/used-by optimizers (2020) (0)
Is Knowledge Maintenance an AdequateResponse to the Challenge of Situated Cognitionfor Symbolic Knowledge Based Systems ? (1997) (0)
Forecasting model checking needs during early requirements engineering with Rapture/SP2 (2001) (0)
How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization) (2021) (0)
Generalization of Teacher-Student Network and CNN Pruning (2018) (0)
Documenting evidence of a reuse of ‘what is a feature? a qualitative study of features in industrial software product lines’ (2021) (0)
Data Mining (2014) (0)
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics (2021) (0)
The Temporal QCM Modelling Language (1998) (0)
Associations between the neighborhood and home environments and weight status in pre‐kindergarten children (390.6) (2014) (0)
Optimizing Predictions for Very Small Data Sets: a case study on Open-Source Project Health Prediction (2023) (0)
Cross-Company Learning (2015) (0)
Optimizing spacecraft risk management using heuristic search (2002) (0)
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors (2022) (0)
Learning Changes to Software Projects (2011) (0)
Finding conclusion stability for selecting the best effort predictor in software effort estimation (2012) (0)
Sharing Models: Challenges and Methods (2015) (0)
An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning) (2019) (0)
Learning cost benefit trade-offs (2002) (0)
Fantastic Stochastic Reductions in Design Options (2001) (0)
Guest editorial: special issue on realizing AI synergies in software engineering (part 2) (2015) (0)
A guest editorial: special issue on search based software engineering and data mining (2017) (0)
Identifying fruitful connections between and among researchers and practitioners (2003) (0)
Finding better active learners for faster literature reviews (2018) (0)
Learning to recognize actionable static code warnings (is intrinsically easy) (2021) (0)
Seven principles of inductive software engineering (2016) (0)
Take Control : (On the Unreasonable Effectiveness of Software Analytics) (2019) (0)
XOMO: Processing models within the RST test bed (2006) (0)
Where is the Best Effort Estimator (2011) (0)
Proceedings of Ecai-96 Workshop: Empirical Ai Programme Committee (1996) (0)
Crowd-Sourced Knowledge Bases (2012) (0)
Data mining with software industry project data: A case study (2009) (0)
A guest editorial: special issue on search based software engineering and data mining (2017) (0)
IV&V is not V&V so how does that change things? (2005) (0)
Software Development Cost Estimation Executive Summary (2006) (0)
Fairer Software Made Easier (using “Keys”) (2021) (0)
Teaching Cognitive IV&V (2006) (0)
Chapter 9 – Effort Estimation (2015) (0)
Sharing Less Data (Is a Good Thing) (2015) (0)
Software for Optimizing Quality Assurance of Other Software (2004) (0)
Mining Scientific Workflows for Anomalous Data Transfers (2021) (0)
Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle (2016) (0)
Documenting evidence of a reuse of ‘a systematic study of the class imbalance problem in convolutional neural networks’ (2021) (0)
The International Center of Excellence in Software Engineering: Accomplishments and Challenges (2012) (0)
Estimation Models : When is Enough Data Enough ? (2004) (0)
Simplifying Software Defect Prediction ( via the “ early bird ” Heuristic ) (2022) (0)
iSPY: Issue–Solution Pairing From Developer Live Chats (2022) (0)
Chapter 2 – Rules for Managers (2015) (0)
Bayesian Anomaly Detection (BAD v0.1) (2006) (0)
Object‐oriented patterns: lessons from expert systems (1997) (0)
What Not to Test (for Cyber-Physical Systems) (2021) (0)
Cross-Project Data for Software Engineering (2015) (0)
Guest editorial: special multi-issue on selected topics in Automated Software Engineering (2015) (0)
Assessing the Early Bird Heuristic (for Predicting Project Quality) (2021) (0)
Welcome from the swan 2017 chairs (2017) (0)
The Engineering Mindset Is an Ethical Mindset (We Just Don’t Teach It That Way… Yet) (2023) (0)
Subset Selection with TAR 2 less (2003) (0)
Some Empirical Automated Software Engineering (2000) (0)
Guest editorial: special multi-issue on selected topics in Automated Software Engineering (2015) (0)
Rule #4: Data Science is Cyclic (2015) (0)
A New Monte Carlo Filtering Method for the Diagnosis of Mission-Critical Failures (2009) (0)
Abduction and Memoing (1995) (0)
Learning GENERAL Principles from Hundreds of Software Projects (2019) (0)
Data Mining for Very Busy People Tar2: a Simpler, Shorter Rule (2003) (0)
Enhanced Labeling of Issue Reports (with F3T) (2019) (0)
Documenting evidence of a reuse of ‘a systematic literature review of techniques and metrics to reduce the cost of mutation testing’ (2021) (0)
Special issue on realizing artificial intelligence synergies in software engineering (2014) (0)
Documenting evidence of a reuse of ‘on the number of linear regions of deep neural networks’ (2021) (0)
Continuous Integration: The Silver Bullet? (2017) (0)
Building Smarter Transfer Learners (2015) (0)
Is AI dierent for SE? (2019) (0)
Intro to OO A/D (1997) (0)
How to Find Actionable Static Analysis Warnings (2022) (0)
SNEAK: Faster Interactive Search-based SE (2021) (0)
Guest editorial: special multi-issue on selected topics in automated software engineering (2015) (0)
FairBalance: How to Achieve Equalized Odds With Data Pre-processing (2021) (0)
SPIN or LURCH : a Comparative Assessment of Model Checking and Stochastic Search for Temporal Properties in Procedural Code (2004) (0)
Fairer Machine Learning Software on Multiple Sensitive Attributes With Data Preprocessing (2022) (0)
Searching for Test Case Prioritization Schemes: An Expert System-Assisted Literature Review. (2019) (0)
The Importance of Goals in Model-Based Reasoning (2015) (0)
Active Learning: Learning More With Less (2015) (0)
Funnelling the Consequence of Inconsistencies (2001) (0)
Documenting evidence of a reuse of ‘RefactoringMiner 2.0’ (2021) (0)
How to Read Less: On the Benefit of Human-in-the-loop Incremental Learning for Systematic Literature Review (2016) (0)
Visualisations of Large Object-Oriented (1995) (0)
Q : Do We Really Use Encapsulation ? (1995) (0)
Documenting evidence of a replication of ‘analyze this! 145 questions for data scientists in software engineering’ (2021) (0)
Guest editorial: special multi-issue on selected topics in automated software engineering (2015) (0)
\{2CEE\}, A \{T\}WENTY \{F\}IRST \{C\}ENTURY \{E\}FFORT \{E\}STIMATION \{M\}ETHODOLOGY (2008) (0)
Introduction to the Minitrack on Frontiers in AI and Software Engineering (2018) (0)
When, and Why, Simple Methods Fail. Lessons Learned from Hyperparameter Tuning in Software Analytics (and Elsewhere) (2019) (0)
Recommendations for Intelligent Code Reorganization (2016) (0)
Rule #2: Know The Domain (2015) (0)
Faster SAT Solving for Software with Repeated Structures (with Case Studies on Software Test Suite Minimization) (2021) (0)
lispth/code: still chasing zenodo DOI (2017) (0)
Chapter 25 – A Final Word (2015) (0)
Automatic Estimation Techniques are Useful (2008) (0)
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning) (2022) (0)
FunnellingtheConsequenceof Inconsistencies (2001) (0)
Guest editorial: special issue on realizing AI synergies in software engineering (2015) (0)
QualityMetrics : TestCoverageAnalysisfor Smalltalk (2000) (0)
Assessment of a Lightweight Formal Method for Specifying and Analyzing Requirements (2001) (0)
VEER: enhancing the interpretability of model-based optimizations (2021) (0)
Visualization support for risk-informed decision making when planning and managing software developments (2005) (0)
TWENTY FIRST CENTURY EFFORT ESTIMATION METHODOLOGY (2008) (0)
Simulations for Very Early Lifecycle Quality Evaluations Research Section (2003) (0)
What disconnects Practitioner Belief and Empirical Evidence ? (2020) (0)
A Just-In-Time Compiler for Intelligent Manufacturing (2018) (0)
Visual Programming, Knowledge Engineering, and Visual Programming (1996) (0)
ziqi-zhang/fse20: First release (2020) (0)
Modeling the Rats in the Basement Or: Representing \ablers" Knowledge in Qualitative Compartmental Models Modeling the Rats in the Basement Or: Representing \ablers" Knowledge in Qualitative Compartmental Models (1996) (0)
Article Summaries (2005) (0)
focus to Test Less (2000) (0)
OMO: Software cost estimation (2003) (0)
Faster Creation of Smaller Test Suites (with SNAP) (2019) (0)
Special issue on repeatable results in software engineering prediction (2012) (0)
Bad Smells in So ware Analytics Papers (2018) (0)
Data Mining from Process Models: Visualizations or Induction for Better Comprehension? (2004) (0)
Ripple-Down Rationality: A Framework for Maintaining PSMs (2007) (0)
Rule #1: Talk to the Users (2015) (0)
\And" Can You Validate It? (1997) (0)
Deposited in DRO : 17 January 2022 Version of attached le : Accepted Version Peer-review status of attached (2022) (0)
Software Development Cost: How Much? You Sure? Technical Summary (2006) (0)
Transfer learning in effort estimation (2014) (0)
(Re)Use of Research Results (Is Rampant) (2023) (0)
Omni: automated ensemble with unexpected models against adversarial evasion attack (2021) (0)
Chapter 8 – Defect Prediction (2015) (0)
On the Value of Backdoors for Software Engineering: a Case Study with Test Suite Generation (2019) (0)
Maybes Mean ( Mostly ) the Same Thing April 14 , 2003 (2003) (0)
Chapter 12 – Learning Contexts (2015) (0)
Guest editorial: learning to organize testing (2011) (0)
A Decision Support Tool for Tuning Parameters in aMachine Learning (1997) (0)
Data Mining (Under The Hood) (2015) (0)
Low Code for Smart Software Development (2023) (0)
Rule #3: Suspect Your Data (2015) (0)
Data Mining and SE (2015) (0)
Special issue on realizing artificial intelligence synergies in software engineering (2014) (0)
Guest editorial: special issue on realizing AI synergies in software engineering (2015) (0)
Using a Genetic Algorithm to Control Randomized Unit Testing (2008) (0)
SNEAK: Faster Interactive Search-based Software Engineering (using Semi-Supervised Learning) (2021) (0)
Learning Predictors \& Controllers for Software Functional Requirements (2007) (0)
Guest editorial: special issue on realizing AI synergies in software engineering (part 2) (2014) (0)
Proceedings of PROMISE'10 (2010) (0)
Predictive models in software engineering (2013) (0)
Documenting evidence of a replication of ‘populating a release history database from version control and bug tracking systems’ (2021) (0)
Accurate Estimates Without Local Data ? Research Section (2009) (0)
Kernel methods for software effort estimation (2011) (0)
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics (2023) (0)

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