Items where Author is "Hall, Tracy"

Phillips, Jesse and El-Haj, Mo and Hall, Tracy (2024) Metric-Oriented Pretraining of Neural Source Code Summarisation Transformers to Enable more Secure Software Development. In: The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security, 2024-07-29 - 2024-07-30, Lancaster University.

Debeyan, Fahad and Madeyski, Lech and Hall, Tracy and Bowes, David (2024) The Impact of Hard and Easy Negative Training Data on Vulnerability Prediction Performance. Journal of Systems and Software, 211: 112003. ISSN 0164-1212

Hunt, Lucy and Hall, Tracy (2024) Whistleblowing in Software Engineering : A Study of Interactions and Escalations in Whistleblowing Situations. PhD thesis, Lancaster University.

Winter, Emily and Bowes, David and Counsell, Steve and Hall, Tracy and Haraldsson, Saemundur and Nowack, Vesna and Woodward, John (2023) How do developers really feel about bug fixing? : Directions for automatic program repair. IEEE Transactions on Software Engineering, 49 (4): 4. pp. 1823-1841. ISSN 0098-5589

Winter, Emily and Nowack, Vesna and Bowes, David and Counsell, Steve and Hall, Tracy and Haraldsson, Saemundur and Woodward, John (2023) Let's Talk With Developers, Not About Developers : A Review of Automatic Program Repair Research. IEEE Transactions on Software Engineering, 49 (1). pp. 419-436. ISSN 0098-5589

Phillips, Jesse and Bowes, David and El-Haj, Mahmoud and Hall, Tracy (2022) Improved Evaluation of Automatic Source Code Summarisation. In: 2nd Wokshop on Natural Language Generation, Evaluation and Metrics : Proceedings of the Workshop. Association for Computational Linguistics (ACL Anthology), ARE, pp. 326-335. ISBN 9781959429128

Debeyan, Fahad and Hall, Tracy and Bowes, David (2022) Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information. In: PROMISE 2022: Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering :. ACM, SGP, pp. 2-11. ISBN 9781450398602

Winter, Emily and Nowack, Vesna and Bowes, David and Counsell, Steve and Hall, Tracy and Haraldsson, Saemundur and Woodward, John and Kirbas, Serkan and Windells, Etienne and McBello, Olayori and Atakishiyev, Abdurahman and Kells, Kevin and Pagano, Matthew (2022) Towards Developer-Centered Automatic Program Repair : Findings from Bloomberg. In: ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) :. ACM, New York.

Bennett, Gaz and Hall, Tracy and Bowes, David (2022) Some automatically generated patches are more likely to be correct than others : an analysis of Defects4J patch features. In: Proceedings - International Workshop on Automated Program Repair, APR 2022 :. ACM, USA, pp. 46-52. ISBN 9781450392853

Hall, Tracy (2022) How Software Developers Mitigate their Errors when Developing Code. IEEE Transactions on Software Engineering, 48 (6): 6. pp. 1853-1867. ISSN 0098-5589

Nowack, Vesna and Bowes, David and Counsell, Steve and Hall, Tracy and Haraldsson, Saemundur and Winter, Emily and Woodward, John (2022) Expanding Fix Patterns to Enable Automatic Program Repair. In: 2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE) :. 2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE) . IEEE Computer Society Press, CHN, pp. 12-23. ISBN 9781665425889

Lee, Chi Hong and Hall, Tracy (2021) Using Machine Learning to Recognise Novice and Expert Programmers. In: Product-Focused Software Process Improvement - 22nd International Conference, PROFES 2021, Proceedings : 22nd International Conference, PROFES 2021, Turin, Italy, November 26, 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer, Cham, pp. 199-206. ISBN 9783030914516

Nageria, Bhaveet and Hall, Tracy (2020) Reducing Software Developer Human Errors by Improving Situation Awareness. IEEE Software, 37 (6). pp. 32-37. ISSN 0740-7459

Winter, Emily and Bowes, David and Counsell, Steve and Hall, Tracy and Haraldsson, Saemundur and Nowack, Vesna and Woodward, John (2020) Human Factors in the Study of Automatic Software Repair : Future Directions for Research with Industry. In: Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020 :. Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020 . Association for Computing Machinery, Inc, KOR, pp. 285-286. ISBN 9781450379632

Shippey, Thomas and Bowes, David and Hall, Tracy (2019) Automatically Identifying Code Features for Software Defect Prediction : Using AST N-grams. Information and Software Technology, 106. pp. 142-160. ISSN 0950-5849

Petric, Jean and Hall, Tracy and Bowes, David (2018) How Effectively Is Defective Code Actually Tested? : An Analysis of JUnit Tests in Seven Open Source Systems. In: Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering :. PROMISE'18 . ACM, New York, NY, USA, pp. 42-51. ISBN 9781450365932

Ortu, Marco and Hall, Tracy and Marchesi, Michele and Tonelli, Roberto and Bowes, David and Destefanis, Giuseppe (2018) Mining communication patterns in software development : A GitHub analysis. In: PROMISE'18 Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering :. ACM, New York, pp. 70-79. ISBN 9781450365932

Mahmood, Zaheed and Bowes, David and Hall, Tracy and Lane, Peter C.R. and Petrić, Jean (2018) Reproducibility and replicability of software defect prediction studies. Information and Software Technology, 99. pp. 148-163. ISSN 0950-5849

Bowes, David and Hall, Tracy and Petrić, Jean (2018) Software defect prediction : do different classifiers find the same defects? Software Quality Journal, 26 (2). pp. 525-552. ISSN 0963-9314

Kirbas, Serkan and Caglayan, Bora and Hall, Tracy and Counsell, Steve and Bowes, David and Sen, Alper and Bener, Ayse (2018) The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract). In: 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings :. Institute of Electrical and Electronics Engineers Inc., ITA, p. 471. ISBN 9781538649695

Counsell, Steve and Hall, Tracy and Shippey, Thomas and Bowes, David and Tahir, Amjed and MacDonell, Stephen (2017) Assert use and defectiveness in industrial code. In: Proceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017 :. Institute of Electrical and Electronics Engineers Inc., FRA, pp. 20-23. ISBN 9781538623879

Bowes, David and Counsell, Steve and Hall, Tracy and Petric, Jean and Shippey, Thomas (2017) Getting defect prediction into industrial practice : The ELFF tool. In: Proceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017 :. Institute of Electrical and Electronics Engineers Inc., FRA, pp. 44-47. ISBN 9781538623879

Bowes, David and Hall, Tracy and Petrić, Jean and Shippey, Thomas and Turhan, Burak (2017) How Good Are My Tests? In: 2017 IEEE/ACM 8th Workshop on Emerging Trends in Software Metrics (WETSoM) :. 2017 IEEE/ACM 8th Workshop on Emerging Trends in Software Metrics (WETSoM) . IEEE Computer Society, ARG, pp. 9-14. ISBN 9781538628072

Kirbas, Serkan and Caglayan, Bora and Hall, Tracy and Counsell, Steve and Bowes, David and Sen, Alper and Bener, Ayse (2017) The relationship between evolutionary coupling and defects in large industrial software. Journal of Software: Evolution and Process, 29 (4): e1842.

Petrić, Jean and Bowes, David and Hall, Tracy and Christianson, Bruce and Baddoo, Nathan (2016) Building an Ensemble for Software Defect Prediction Based on Diversity Selection. In: ESEM '16 Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement :. Association for Computing Machinery, Inc, ESP. ISBN 9781450344272

Shippey, Thomas and Hall, Tracy and Counsell, Steve and Bowes, David (2016) So You Need More Method Level Datasets for Your Software Defect Prediction? : Voilà! In: ESEM '16 Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement :. IEEE Computer Society, ESP. ISBN 9781450344272

Bowes, David and Hall, Tracy and Harman, Mark and Jia, Yue and Sarro, Federica and Wu, Fan (2016) Mutation-aware fault prediction. In: ISSTA 2016 Proceedings of the 25th International Symposium on Software Testing and Analysis :. Association for Computing Machinery, Inc, DEU, pp. 330-341. ISBN 9781450343909

Petrić, Jean and Bowes, David and Hall, Tracy and Christianson, Bruce and Baddoo, Nathan (2016) The Jinx on the NASA software defect data sets. In: EASE '16 Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering :. Association for Computing Machinery, Inc, IRL. ISBN 9781450336918

Bowes, David and Hall, Tracy and Petrić, Jean (2015) Different classifiers find different defects although with different level of consistency. In: PROMISE '15 Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering :. Association for Computing Machinery, Inc, CHN. ISBN 9781450337151

Mahmood, Zaheed and Bowes, David and Lane, Peter C R and Hall, Tracy (2015) What is the impact of imbalance on software defect prediction performance? In: PROMISE '15 Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering :. Association for Computing Machinery, Inc, CHN. ISBN 9781450337151

Hall, Tracy and Bowes, David and Sun, Yi and Zhang, Min (2014) Some code smells have a significant but small effect on faults. ACM Transactions on Software Engineering and Methodology, 23 (4): 33. ISSN 1049-331X

Shepperd, Martin and Bowes, David and Hall, Tracy (2014) Researcher bias : The use of machine learning in software defect prediction. IEEE Transactions on Software Engineering, 40 (6): 6824804. pp. 603-616. ISSN 0098-5589