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2020 – today
- 2020
[c14]Jean Petric
, Tracy Hall, David Bowes:
Which Software Faults Are Tests Not Detecting? EASE 2020: 160-169- [c13]David Bowes, Jean Petric, Tracy Hall:
BugVis: Commit Slicing for Fault Visualisation. ICPC 2020: 436-440 - [c12]David Bowes, Giuseppe Destefanis, Tracy Hall, Jean Petric, Marco Ortu:
Fault-insertion and fault-fixing: analysing developer activity over time. PROMISE 2020: 41-50 - [c11]Jean Petric, Tracy Hall, David Bowes:
Zones of Pain: Visualising the Relationship Between Software Architecture and Defects. QUATIC 2020: 135-143
2010 – 2019
- 2019
- [e1]Leandro L. Minku, Foutse Khomh, Jean Petric:
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2019, Recife, Brazil, September 18, 2019. ACM 2019, ISBN 978-1-4503-7233-6 [contents] - 2018
- [b1]Jean Petric:
Improving defect prediction models by combining classifiers predicting different defects. University of Hertfordshire, Hatfield, UK, 2018 - [j2]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) - [j1]David Bowes, Tracy Hall, Jean Petric:
Software defect prediction: do different classifiers find the same defects? Softw. Qual. J. 26(2): 525-552 (2018) - [c10]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 - [c9]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 - 2017
- [c8]David Bowes, Tracy Hall, Jean Petric, Thomas Shippey, Burak Turhan:
How Good Are My Tests? WETSoM@ICSE 2017: 9-14 - [c7]David Bowes, Steve Counsell, Tracy Hall, Jean Petric, Thomas Shippey:
Getting Defect Prediction Into Industrial Practice: the ELFF Tool. ISSRE Workshops 2017: 44-47 - 2016
- [c6]Jean Petric:
Using different characteristics of machine learners to identify different defect families. EASE 2016: 5:1-5:4 - [c5]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 - [c4]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 - 2015
- [c3]David Bowes, Tracy Hall, Jean Petric:
Different Classifiers Find Different Defects Although With Different Level of Consistency. PROMISE 2015: 3:1-3:10 - 2014
- [c2]Jean Petric, Tihana Galinac Grbac:
Software structure evolution and relation to system defectiveness. EASE 2014: 34:1-34:10 - [c1]Jean Petric, Tihana Galinac Grbac, Mario Dubravac:
Processing and Data Collection of Program Structures in Open Source Repositories. SQAMIA 2014: 57-66
Coauthor Index
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