David Bowes

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 39

Top Venues

PROMISE

Inf. Softw. Technol.

IEEE Trans. Software Eng.

SEAA

University of Hertfordshire, UK (PHD)

Education History

University of Hertfordshire, UK

PHD

Publications

Emily Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Óskar Haraldsson, John R. Woodward
Let's Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research. IEEE Trans. Software Eng. 49 (1) (2023)
Marco Ortu, Giuseppe Destefanis, Tracy Hall, David Bowes
Fault-insertion and fault-fixing behavioural patterns in Apache Software Foundation Projects. Inf. Softw. Technol. 158 (2023)
Emily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur O. Haraldsson, Vesna Nowack, John R. Woodward
How do Developers Really Feel About Bug Fixing? Directions for Automatic Program Repair. IEEE Trans. Software Eng. 49 (4) (2023)
Emily Rowan Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Haraldsson, John R. Woodward, Serkan Kirbas, Etienne Windels, Olayori McBello, Abdurahman Atakishiyev, Kevin Kells, Matthew W. Pagano
Towards developer-centered automatic program repair: findings from Bloomberg. ESEC/SIGSOFT FSE (2022)
Gareth Bennett, Tracy Hall, David Bowes
Some Automatically Generated Patches are More Likely to be Correct than Others: An Analysis of Defects4J Patch Features. APR@ICSE (2022)
Fahad Al Debeyan, Tracy Hall, David Bowes
Improving the performance of code vulnerability prediction using abstract syntax tree information. PROMISE (2022)
Steve Counsell, Vesna Nowack, Tracy Hall, David Bowes, Saemundur Haraldsson, Emily Winter, John R. Woodward
An 80-20 Analysis of Buggy and Non-buggy Refactorings in Open-Source Commits. SEAA (2022)
Steve Counsell, Tracy Hall, Thomas Shippey, David Bowes, Amjed Tahir, Stephen G. MacDonell
Assert Use and Defectiveness in Industrial Code. CoRR (2021)
Serkan Kirbas, Etienne Windels, Olayori McBello, Kevin Kells, Matthew W. Pagano, Rafal Szalanski, Vesna Nowack, Emily Rowan Winter, Steve Counsell, David Bowes, Tracy Hall, Saemundur Haraldsson, John R. Woodward
On The Introduction of Automatic Program Repair in Bloomberg. IEEE Softw. 38 (4) (2021)
Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward
Expanding Fix Patterns to Enable Automatic Program Repair. ISSRE (2021)
Emily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Vesna Nowack, John R. Woodward
Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry. ICSE (Workshops) (2020)
David Bowes, Giuseppe Destefanis, Tracy Hall, Jean Petric, Marco Ortu
Fault-insertion and fault-fixing: analysing developer activity over time. PROMISE (2020)
Jean Petric, Tracy Hall, David Bowes
Which Software Faults Are Tests Not Detecting? EASE (2020)
Jean Petric, Tracy Hall, David Bowes
Zones of Pain: Visualising the Relationship Between Software Architecture and Defects. QUATIC (2020)
Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Saemundur Haraldsson, Emily Winter, John R. Woodward
Exploiting fault localisation for efficient program repair. GECCO Companion (2020)
David Bowes, Jean Petric, Tracy Hall
BugVis: Commit Slicing for Fault Visualisation. ICPC (2020)
David Bowes, Emad Shihab, Burak Turhan
Guest editorial: special section on predictive models and data analytics in software engineering. Empir. Softw. Eng. 24 (5) (2019)
Thomas Shippey, David Bowes, Tracy Hall
Automatically identifying code features for software defect prediction: Using AST N-grams. Inf. Softw. Technol. 106 (2019)
Thomas Shippey, David Bowes, Steve Counsell, Tracy Hall
Code Cleaning for Software Defect Prediction: A Cautionary Tale. SEAA (2018)
Martin J. Shepperd, Tracy Hall, David Bowes
Authors' Reply to "Comments on 'Researcher Bias: The Use of Machine Learning in Software Defect Prediction'". IEEE Trans. Software Eng. 44 (11) (2018)
Marco Ortu, Tracy Hall, Michele Marchesi, Roberto Tonelli, David Bowes, Giuseppe Destefanis
Mining Communication Patterns in Software Development: A GitHub Analysis. PROMISE (2018)
Marco Ortu, Andrea Pinna, Roberto Tonelli, Michele Marchesi, David Bowes, Giuseppe Destefanis
Angry-builds: an empirical study of affect metrics and builds success on github ecosystem. XP Companion (2018)
Giuseppe Destefanis, Marco Ortu, David Bowes, Michele Marchesi, Roberto Tonelli
On measuring affects of github issues' commenters. SEmotion@ICSE (2018)
Giuseppe Destefanis, S. Qaderi, David Bowes, Jean Petric, Marco Ortu
A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat. PROMISE (2018)
David Bowes, Tracy Hall, Jean Petric
Software defect prediction: do different classifiers find the same defects? Softw. Qual. J. 26 (2) (2018)
Zaheed Mahmood, David Bowes, Tracy Hall, Peter C. R. Lane, Jean Petric
Reproducibility and replicability of software defect prediction studies. Inf. Softw. Technol. 99 (2018)
Jean Petric, Tracy Hall, David Bowes
How Effectively Is Defective Code Actually Tested?: An Analysis of JUnit Tests in Seven Open Source Systems. PROMISE (2018)
Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener
The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract). SANER (2018)
Sarah Beecham, David Bowes, Klaas-Jan Stol
Introduction to the EASE 2016 special section: Evidence-based software engineering: Past, present, and future. Inf. Softw. Technol. 89 (2017)
Steve Counsell, Tracy Hall, Thomas Shippey, David Bowes, Amjed Tahir, Stephen G. MacDonell
Assert Use and Defectiveness in Industrial Code. ISSRE Workshops (2017)
David Bowes, Tracy Hall, Jean Petric, Thomas Shippey, Burak Turhan
How Good Are My Tests? WETSoM@ICSE (2017)
Serkan Kirbas, Bora Caglayan, Tracy Hall, Steve Counsell, David Bowes, Alper Sen, Ayse Bener
The relationship between evolutionary coupling and defects in large industrial software. J. Softw. Evol. Process. 29 (4) (2017)
David Bowes, Steve Counsell, Tracy Hall, Jean Petric, Thomas Shippey
Getting Defect Prediction Into Industrial Practice: the ELFF Tool. ISSRE Workshops (2017)
Jean Petric, David Bowes, Tracy Hall, Bruce Christianson, Nathan Baddoo
Building an Ensemble for Software Defect Prediction Based on Diversity Selection. ESEM (2016)
Thomas Shippey, Tracy Hall, Steve Counsell, David Bowes
So You Need More Method Level Datasets for Your Software Defect Prediction?: Voilà! ESEM (2016)
David Bowes, Tracy Hall, Mark Harman, Yue Jia, Federica Sarro, Fan Wu
Mutation-aware fault prediction. ISSTA (2016)
Jean Petric, David Bowes, Tracy Hall, Bruce Christianson, Nathan Baddoo
The jinx on the NASA software defect data sets. EASE (2016)
Zaheed Mahmood, David Bowes, Peter C. R. Lane, Tracy Hall
What is the Impact of Imbalance on Software Defect Prediction Performance? PROMISE (2015)
David Bowes, Tracy Hall, Jean Petric
Different Classifiers Find Different Defects Although With Different Level of Consistency. PROMISE (2015)
David Bowes, Tracy Hall, David Gray
DConfusion: a technique to allow cross study performance evaluation of fault prediction studies. Autom. Softw. Eng. 21 (2) (2014)
Tracy Hall, Min Zhang, David Bowes, Yi Sun
Some Code Smells Have a Significant but Small Effect on Faults. ACM Trans. Softw. Eng. Methodol. 23 (4) (2014)
Martin J. Shepperd, David Bowes, Tracy Hall
Researcher Bias: The Use of Machine Learning in Software Defect Prediction. IEEE Trans. Software Eng. 40 (6) (2014)
David Bowes, David Randall, Tracy Hall
The inconsistent measurement of Message Chains. WETSoM (2013)
Thomas Shippey, David Bowes, Bruce Christianson, Tracy Hall
A mapping study of software code cloning. EASE (2012)
Tracy Hall, Sarah Beecham, David Bowes, David Gray, Steve Counsell
A Systematic Literature Review on Fault Prediction Performance in Software Engineering. IEEE Trans. Software Eng. 38 (6) (2012)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Reflections on the NASA MDP data sets. IET Softw. 6 (6) (2012)
Tracy Hall, David Bowes
The State of Machine Learning Methodology in Software Fault Prediction. ICMLA (2) (2012)
David Bowes, Tracy Hall, David Gray
Comparing the performance of fault prediction models which report multiple performance measures: recomputing the confusion matrix. PROMISE (2012)
David Bowes, Tracy Hall, Andrew Kerr
Program slicing-based cohesion measurement: the challenges of replicating studies using metrics. WETSoM (2011)
Tracy Hall, Sarah Beecham, David Bowes, David Gray, Steve Counsell
Developing Fault-Prediction Models: What the Research Can Show Industry. IEEE Softw. 28 (6) (2011)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
The misuse of the NASA metrics data program data sets for automated software defect prediction. EASE (2011)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Further thoughts on precision. EASE (2011)
Tracy Hall, David Bowes, Gernot Armin Liebchen, Paul Wernick
Evaluating Three Approaches to Extracting Fault Data from Software Change Repositories. PROFES (2010)
Steve Counsell, Tracy Hall, David Bowes
A Theoretical and Empirical Analysis of Three Slice-Based Metrics for Cohesion. Int. J. Softw. Eng. Knowl. Eng. 20 (5) (2010)
Steve Counsell, Tracy Hall, Emal Nasseri, David Bowes
An Analysis of the "Inconclusive' Change Report Category in OSS Assisted by a Program Slicing Metric. EUROMICRO-SEAA (2010)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Software defect prediction using static code metrics underestimates defect-proneness. IJCNN (2010)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics. EANN (2009)
David Bowes, Rod Adams, Lola Cañamero, Volker Steuber, Neil Davey
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot. ALIFE (2009)
Sue Black, Steve Counsell, Tracy Hall, David Bowes
Fault Analysis in OSS Based on Program Slicing Metrics. EUROMICRO-SEAA (2009)

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Publication Activity (10 Years)

Top Topics

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David Bowes