Jean Petric

Proceedings of the Quality of Information and Communications Technology, 2020

Fault-insertion and fault-fixing: analysing developer activity over time.

[BibT_eX]

[DOI]

Proceedings of the PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, 2020

BugVis: Commit Slicing for Fault Visualisation.

[BibT_eX]

[DOI]

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Which Software Faults Are Tests Not Detecting?

[BibT_eX]

[DOI]

Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2018

Improving defect prediction models by combining classifiers predicting different defects.

[BibT_eX]

[DOI]

PhD thesis, 2018

Software defect prediction: do different classifiers find the same defects?

[BibT_eX]

[DOI]

Softw. Qual. J., 2018

Reproducibility and replicability of software defect prediction studies.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2018

How Effectively Is Defective Code Actually Tested?: An Analysis of JUnit Tests in Seven Open Source Systems.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, 2018

A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, 2018

2017

Getting Defect Prediction Into Industrial Practice: the ELFF Tool.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Software Reliability Engineering Workshops, 2017

How Good Are My Tests?

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE/ACM Workshop on Emerging Trends in Software Metrics, 2017

2016

Building an Ensemble for Software Defect Prediction Based on Diversity Selection.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2016

The jinx on the NASA software defect data sets.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering, 2016

Using different characteristics of machine learners to identify different defect families.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering, 2016

2015

Different Classifiers Find Different Defects Although With Different Level of Consistency.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, 2015

2014

Processing and Data Collection of Program Structures in Open Source Repositories.

[BibT_eX]

[DOI]

Tihana Galinac Grbac

Mario Dubravac

Proceedings of the 3rd Workshop on Software Quality Analysis, 2014

Software structure evolution and relation to system defectiveness.

[BibT_eX]

[DOI]