Timothy James Menzies

Ethics: How Far Have We Come?

IEEE SOFTWARE, Vol. 42, pp. 146–148.

Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 51(3), 858–863.

SparseCoder: Advancing source code analysis with sparse attention and learned token pruning

EMPIRICAL SOFTWARE ENGINEERING, 30(1).

The Ethical Engineers Dilemma: An Interview With Jim Herbsleb

IEEE SOFTWARE, Vol. 42, pp. 103–106.

A brief note, with thanks, on the contributions of Guenther Ruhe

INFORMATION AND SOFTWARE TECHNOLOGY, 173.

AI Over-Hype: A Dangerous Threat (and How to Fix It)

IEEE SOFTWARE, 41(6), 131–138.

Are You Trapped in the Configuration Abyss? An Interview With Prof. Sven Apel

IEEE SOFTWARE, 41(4), 175–181.

Ethics: Why Software Engineers Can't Afford to Look Away

IEEE SOFTWARE, 41(1), 142–144.

FairBalance: How to Achieve Equalized Odds With Data Pre-Processing

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 50(9), 2294–2312.

Fighting for What's Right: An Interview With Marc Canellas

IEEE SOFTWARE, 41(2), 104–107.

Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health

ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 33(3).

Powering Down: An Interview With Federica Sarro on Tackling Energy Consumption in AI-Powered Software Systems

Menzies, T., & Johnson, B. (2024, September). IEEE SOFTWARE, Vol. 41, pp. 89–92.

Scoping Software Engineering for AI: The TSE Perspective

Uchitel, S., Chechik, M., Di Penta, M., Adams, B., Aguirre, N., Bavota, G., … Zhong, H. (2024, November). IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, Vol. 50, pp. 2709–2711.

The Power of Positionality-Why Accessibility? An Interview With Kevin Moran and Arun Krishnavajjala

IEEE SOFTWARE, 41(3), 91–94.

Trading Off Scalability, Privacy, and Performance in Data Synthesis

IEEE ACCESS, 12, 26642–26654.

When less is more: on the value of "co-training" for semi-supervised software defect predictors

EMPIRICAL SOFTWARE ENGINEERING, 29(2).

iSNEAK: Partial Ordering as Heuristics for Model- Based Reasoning in Software Engineering

IEEE ACCESS, 12, 142915–142929.

"The Best Data Are Fake Data?": An Interview With Chris Hazard

Menzies, T., & Hazard, C. (2023, September). IEEE SOFTWARE, Vol. 40, pp. 121–124.

(Re)Use of Research Results (Is Rampant)

COMMUNICATIONS OF THE ACM, 66(2), 75–81.

A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning

IEEE INTERNET COMPUTING, 27(6), 13–20.

An expert system for redesigning software for cloud applications

EXPERT SYSTEMS WITH APPLICATIONS, 219.

Assessing the Early Bird Heuristic (for Predicting ProjectQuality)

ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 32(5).

Don't Lie to Me: Avoiding Malicious Explanations With STEALTH

IEEE SOFTWARE, 40(3), 43–53.

Fair Enough: Searching for Sufficient Measures of Fairness

ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 32(6).

FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(4), 2426–2439.

Finding Trends in Software Research

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(4), 1397–1410.

How to "Sell" Ethics (Using AI): An Interview With Alexander Serebrenik

IEEE SOFTWARE, 40(3), 95–97.

How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(4), 2856–2872.

Model Review: A PROMISEing Opportunity

PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON PREDICTIVE MODELS AND DATA ANALYTICS IN SOFTWARE ENGINEERING, PROMISE 2023, pp. 64–68.

The Engineering Mindset Is an Ethical Mindset (We Just Don't Teach It That Way ... Yet)

IEEE SOFTWARE, Vol. 40, pp. 103–110.

Unfairness Is Everywhere, so What to Do? An Interview With Jeanna Matthews

IEEE SOFTWARE, 40(6), 135–138.

VEER: enhancing the interpretability of model-based optimizations

EMPIRICAL SOFTWARE ENGINEERING, 28(3).

What Not to Test (For Cyber-Physical Systems)

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(7), 3811–3826.

Artificial Intelligence and Software Engineering: Are We Ready?

COMPUTER, 55(3), 24–28.

Assessing expert system-assisted literature reviews with a case study

EXPERT SYSTEMS WITH APPLICATIONS, 200.

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction)

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(1), 278–294.

Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue

2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 144–155.

Defect Reduction Planning (Using TimeLIME)

IEEE Transactions on Software Engineering, 48(7), 2510–2525.

Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application

EMPIRICAL SOFTWARE ENGINEERING, 27(6).

How Different is Test Case Prioritization for Open and Closed Source Projects?

IEEE Transactions on Software Engineering, 48(7), 2526–2540.

How to Improve Deep Learning for Software Analytics (a case study with code smell detection)

2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 156–166.

Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(5), 1676–1691.

Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health)

2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 566–578.

Omni: automated ensemble with unexpected models against adversarial evasion attack

EMPIRICAL SOFTWARE ENGINEERING, 27(1).

Predicting health indicators for open source projects (using hyperparameter optimization)

EMPIRICAL SOFTWARE ENGINEERING, 27(6).

Revisiting process versus product metrics: a large scale analysis

EMPIRICAL SOFTWARE ENGINEERING, 27(3).

Sequential Model Optimization for Software Effort Estimation

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(6), 1994–2009.

The Secret to Better AI and Better Software (Is Requirements Engineering)

Bencomo, N., Guo, J. L. C., Harrison, R., Heyn, H.-M., & Menzies, T. (2022, January). IEEE SOFTWARE, Vol. 39, pp. 105–110.

Assessing practitioner beliefs about software engineering

EMPIRICAL SOFTWARE ENGINEERING, 26(4).

Bias in Machine Learning Software: Why? How? What to Do?

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 429–440.

Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 47(6), 1259–1276.

Documenting Evidence of a Replication of 'Analyze This! 145 Questions for Data Scientists in Software Engineering'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1602–1602.

Documenting Evidence of a Replication of 'Populating a Release History Database from Version Control and Bug Tracking Systems'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1601–1601.

Documenting Evidence of a Reproduction of Is There A "Golden" Feature Set for Static Warning Identification? - An Experimental Evaluation'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1603–1603.

Documenting Evidence of a Reuse of "'Why Should I Trust You?": Explaining the Predictions of Any Classifier'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1600–1600.

Documenting Evidence of a Reuse of 'A Systematic Literature Review of Techniques and Metrics to Reduce the Cost of Mutation Testing'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1597–1597.

Documenting Evidence of a Reuse of 'A Systematic Study of the Class Imbalance Problem in Convolutional Neural Networks'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1595–1595.

Documenting Evidence of a Reuse of 'On the Number of Linear Regions of Deep Neural Networks'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1596–1596.

Documenting Evidence of a Reuse of 'RefactoringMiner 2.0'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1598–1598.

Documenting Evidence of a Reuse of 'What is a Feature? A Qualitative Study of Features in Industrial Software Product Lines'

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1599–1599.

Early Life Cycle Software Defect Prediction. Why? How?

2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2021), pp. 448–459.

FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics

2021 36TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING ASE 2021, pp. 394–406.

How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization)

EMPIRICAL SOFTWARE ENGINEERING, 26(3).

Improving Vulnerability Inspection Efficiency Using Active Learning

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 47(11), 2401–2420.

Learning to recognize actionable static code warnings (is intrinsically easy)

EMPIRICAL SOFTWARE ENGINEERING, 26(3).

Mining Workflows for Anomalous Data Transfers

2021 IEEE/ACM 18TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2021), pp. 1–12.

On the Value of Oversampling for Deep Learning in Software Defect Prediction

IEEE Transactions on Software Engineering, 48(8), 1–1.

Shockingly Simple: "Keys" for Better AI for SE

IEEE SOFTWARE, Vol. 38, pp. 114–118.

Simpler Hyperparameter Optimization for Software Analytics: Why, How, When

IEEE Transactions on Software Engineering, 48(8), 1–1.

Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard

2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: JOINT TRACK ON SOFTWARE ENGINEERING EDUCATION AND TRAINING (ICSE-JSEET 2021), pp. 95–104.

Understanding static code warnings: An incremental AI approach

EXPERT SYSTEMS WITH APPLICATIONS, 167.

Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 47(12), 2956–2972.

Assessing Practitioner Beliefs about Software Defect Prediction

2020 IEEE/ACM 42ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP), pp. 182–190.

Better software analytics via "DUO": Data mining algorithms using/used-by optimizers

EMPIRICAL SOFTWARE ENGINEERING, 25(3), 2099–2136.

Expert Perspectives on AI

IEEE SOFTWARE, Vol. 37, pp. 87–94.

Finding Faster Configurations Using FLASH

IEEE Transactions on Software Engineering, 46(7), 794–811.

Learning actionable analytics from multiple software projects

EMPIRICAL SOFTWARE ENGINEERING, 25(5), 3468–3500.

Making Fair ML Software using Trustworthy Explanation

2020 35TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2020), pp. 1229–1233.

The AI Effect: Working at the Intersection of AI and SE

IEEE SOFTWARE, Vol. 37, pp. 26–35.

The Five Laws of SE for AI

IEEE SOFTWARE, Vol. 37, pp. 81–85.

What disconnects Practitioner Belief and Empirical Evidence ?

2020 ACM/IEEE 42ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2020), pp. 286–287.

iSENSE2.0: Improving Completion-aware Crowdtesting Management with Duplicate Tagger and Sanity Checker

ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 29(4).

"Bad smells" in software analytics papers

INFORMATION AND SOFTWARE TECHNOLOGY, 112, 35–47.

"Sampling" as a Baseline Optimizer for Search-Based Software Engineering

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(6), 597–614.

A Deep Learning Model for Estimating Story Points

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(7), 637–656.

Bellwethers: A Baseline Method for Transfer Learning

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(11), 1081–1105.

FAST(2): An intelligent assistant for finding relevant papers

EXPERT SYSTEMS WITH APPLICATIONS, 120, 57–71.

How to "DODGE" Complex Software Analytics

IEEE Transactions on Software Engineering, 47(10), 1–1.

Images don't lie: Duplicate crowdtesting reports detection with screenshot information

INFORMATION AND SOFTWARE TECHNOLOGY, 110, 139–155.

Predicting Breakdowns in Cloud Services (with SPIKE)

ESEC/FSE'2019: PROCEEDINGS OF THE 2019 27TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 916–924.

TERMINATOR: Better Automated UI Test Case Prioritization

ESEC/FSE'2019: PROCEEDINGS OF THE 2019 27TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 883–894.

Take Control (On the Unreasonable Effectiveness of Software Analytics)

2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2019), pp. 265–266.

iSENSE: Completion-Aware Crowdtesting Management

2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2019), pp. 912–923.

Actionable Analytics for Software Engineering INTRODUCTION

IEEE SOFTWARE, Vol. 35, pp. 51–53.

Applications of Psychological Science for Actionable Analytics

ESEC/FSE'18: PROCEEDINGS OF THE 2018 26TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 456–467.

Beyond evolutionary algorithms for search-based software engineering

INFORMATION AND SOFTWARE TECHNOLOGY, 95, 281–294.

Data-Driven Search-based Software Engineering

2018 IEEE/ACM 15TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR), pp. 341–352.

Faster discovery of faster system configurations with spectral learning

AUTOMATED SOFTWARE ENGINEERING, 25(2), 247–277.

Finding better active learners for faster literature reviews

EMPIRICAL SOFTWARE ENGINEERING, 23(6), 3161–3186.

Guest Editorial for the Special Section from the 9th International Symposium on Search Based Software Engineering

Petke, J., & Menzies, T. (2018, December). INFORMATION AND SOFTWARE TECHNOLOGY, Vol. 104, pp. 194–194.

Heterogeneous Defect Prediction

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 44(9), 874–896.