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ORCIDDavid Bowes
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- affiliation: University of Hertfordshire, UK
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2020 – today
- 2024
[j19]Fahad Al Debeyan
, Lech Madeyski, Tracy Hall, David Bowes:
The impact of hard and easy negative training data on vulnerability prediction performance. J. Syst. Softw. 211: 112003 (2024)- 2023
- [j18]Marco Ortu, Giuseppe Destefanis, Tracy Hall, David Bowes:
Fault-insertion and fault-fixing behavioural patterns in Apache Software Foundation Projects. Inf. Softw. Technol. 158: 107187 (2023) - [j17]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): 419-436 (2023) - [j16]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): 1823-1841 (2023) - 2022
- [c40]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: 197-200 - [c39]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: 46-52 - [c38]Fahad Al Debeyan, Tracy Hall, David Bowes:
Improving the performance of code vulnerability prediction using abstract syntax tree information. PROMISE 2022: 2-11 - [c37]Emily Rowan Winter, Vesna Nowack, David Bowes, Steve Counsell, Tracy Hall, Sæmundur Óskar 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: 1578-1588 - 2021
- [j15]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): 43-51 (2021) - [c36]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: 12-23 - [i1]Steve Counsell, Tracy Hall, Thomas Shippey, David Bowes, Amjed Tahir, Stephen G. MacDonell:
Assert Use and Defectiveness in Industrial Code. CoRR abs/2104.01514 (2021) - 2020
- [c35]Jean Petric, Tracy Hall, David Bowes:
Which Software Faults Are Tests Not Detecting? EASE 2020: 160-169 - [c34]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: 311-312 - [c33]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: 285-286 - [c32]David Bowes, Jean Petric, Tracy Hall:
BugVis: Commit Slicing for Fault Visualisation. ICPC 2020: 436-440 - [c31]David Bowes, Giuseppe Destefanis, Tracy Hall, Jean Petric, Marco Ortu:
Fault-insertion and fault-fixing: analysing developer activity over time. PROMISE 2020: 41-50 - [c30]Jean Petric, Tracy Hall, David Bowes:
Zones of Pain: Visualising the Relationship Between Software Architecture and Defects. QUATIC 2020: 135-143
2010 – 2019
- 2019
- [j14]David Bowes, Emad Shihab, Burak Turhan:
Guest editorial: special section on predictive models and data analytics in software engineering. Empir. Softw. Eng. 24(5): 3151-3152 (2019) - [j13]Thomas Shippey, David Bowes, Tracy Hall:
Automatically identifying code features for software defect prediction: Using AST N-grams. Inf. Softw. Technol. 106: 142-160 (2019) - 2018
- [j12]Zaheed Mahmood, David Bowes, Tracy Hall, Peter C. R. Lane, Jean Petric:
Reproducibility and replicability of software defect prediction studies. Inf. Softw. Technol. 99: 148-163 (2018) - [j11]David Bowes, Tracy Hall, Jean Petric:
Software defect prediction: do different classifiers find the same defects? Softw. Qual. J. 26(2): 525-552 (2018) - [j10]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): 1129-1131 (2018) - [c29]Thomas Shippey, David Bowes, Steve Counsell, Tracy Hall:
Code Cleaning for Software Defect Prediction: A Cautionary Tale. SEAA 2018: 239-243 - [c28]Giuseppe Destefanis, Marco Ortu, David Bowes, Michele Marchesi, Roberto Tonelli:
On measuring affects of github issues' commenters. SEmotion@ICSE 2018: 14-19 - [c27]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: 42-51 - [c26]Marco Ortu, Tracy Hall, Michele Marchesi, Roberto Tonelli, David Bowes, Giuseppe Destefanis:
Mining Communication Patterns in Software Development: A GitHub Analysis. PROMISE 2018: 70-79 - [c25]Giuseppe Destefanis, S. Qaderi, David Bowes, Jean Petric, Marco Ortu:
A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat. PROMISE 2018: 90-93 - [c24]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: 471 - [c23]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: 35:1-35:2 - 2017
- [j9]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: 14-18 (2017) - [j8]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) - [c22]David Bowes, Tracy Hall, Jean Petric, Thomas Shippey, Burak Turhan:
How Good Are My Tests? WETSoM@ICSE 2017: 9-14 - [c21]Steve Counsell, Tracy Hall, Thomas Shippey, David Bowes, Amjed Tahir, Stephen G. MacDonell:
Assert Use and Defectiveness in Industrial Code. ISSRE Workshops 2017: 20-23 - [c20]David Bowes, Steve Counsell, Tracy Hall, Jean Petric, Thomas Shippey:
Getting Defect Prediction Into Industrial Practice: the ELFF Tool. ISSRE Workshops 2017: 44-47 - [e1]Burak Turhan, David Bowes, Emad Shihab:
Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2017, Toronto, Canada, November 8, 2017. ACM 2017, ISBN 978-1-4503-5305-2 [contents] - 2016
- [c19]Jean Petric, David Bowes, Tracy Hall, Bruce Christianson, Nathan Baddoo:
The jinx on the NASA software defect data sets. EASE 2016: 13:1-13:5 - [c18]Thomas Shippey, Tracy Hall, Steve Counsell, David Bowes:
So You Need More Method Level Datasets for Your Software Defect Prediction?: Voilà! ESEM 2016: 12:1-12:6 - [c17]Jean Petric, David Bowes, Tracy Hall, Bruce Christianson, Nathan Baddoo:
Building an Ensemble for Software Defect Prediction Based on Diversity Selection. ESEM 2016: 46:1-46:10 - [c16]David Bowes, Tracy Hall, Mark Harman, Yue Jia, Federica Sarro, Fan Wu:
Mutation-aware fault prediction. ISSTA 2016: 330-341 - 2015
- [c15]David Bowes, Tracy Hall, Jean Petric:
Different Classifiers Find Different Defects Although With Different Level of Consistency. PROMISE 2015: 3:1-3:10 - [c14]Zaheed Mahmood, David Bowes, Peter C. R. Lane, Tracy Hall:
What is the Impact of Imbalance on Software Defect Prediction Performance? PROMISE 2015: 4:1-4:4 - 2014
- [j7]David Bowes, Tracy Hall, David Gray:
DConfusion: a technique to allow cross study performance evaluation of fault prediction studies. Autom. Softw. Eng. 21(2): 287-313 (2014) - [j6]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): 33:1-33:39 (2014) - [j5]Martin J. Shepperd, David Bowes, Tracy Hall:
Researcher Bias: The Use of Machine Learning in Software Defect Prediction. IEEE Trans. Software Eng. 40(6): 603-616 (2014) - 2013
- [b1]David Bowes:
Factors affecting the performance of trainable models for software defect prediction. University of Hertfordshire, UK, 2013 - [c13]David Bowes, David Randall, Tracy Hall:
The inconsistent measurement of Message Chains. WETSoM 2013: 62-68 - 2012
- [j4]David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson:
Reflections on the NASA MDP data sets. IET Softw. 6(6): 549-558 (2012) - [j3]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): 1276-1304 (2012) - [c12]Thomas Shippey, David Bowes, Bruce Christianson, Tracy Hall:
A mapping study of software code cloning. EASE 2012: 274-278 - [c11]Tracy Hall, David Bowes:
The State of Machine Learning Methodology in Software Fault Prediction. ICMLA (2) 2012: 308-313 - [c10]David Bowes, Tracy Hall, David Gray:
Comparing the performance of fault prediction models which report multiple performance measures: recomputing the confusion matrix. PROMISE 2012: 109-118 - 2011
- [j2]Tracy Hall, Sarah Beecham, David Bowes, David Gray, Steve Counsell:
Developing Fault-Prediction Models: What the Research Can Show Industry. IEEE Softw. 28(6): 96-99 (2011) - [c9]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: 96-103 - [c8]David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson:
Further thoughts on precision. EASE 2011: 129-133 - [c7]David Bowes, Tracy Hall, Andrew Kerr:
Program slicing-based cohesion measurement: the challenges of replicating studies using metrics. WETSoM 2011: 75-80 - 2010
- [j1]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): 609-636 (2010) - [c6]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: 283-286 - [c5]David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson:
Software defect prediction using static code metrics underestimates defect-proneness. IJCNN 2010: 1-7 - [c4]Tracy Hall, David Bowes, Gernot Armin Liebchen, Paul Wernick:
Evaluating Three Approaches to Extracting Fault Data from Software Change Repositories. PROFES 2010: 107-115
2000 – 2009
- 2009
- [c3]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: 223-234 - [c2]Sue Black, Steve Counsell, Tracy Hall, David Bowes:
Fault Analysis in OSS Based on Program Slicing Metrics. EUROMICRO-SEAA 2009: 3-10 - [c1]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: 179-183
Coauthor Index
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last updated on 2024-06-10 20:30 CEST by the dblp team
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