Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29895
Title: Fault-insertion and fault-fixing: Analysing developer activity over time
Authors: Bowes, D
Destefanis, G
Hall, T
Petric, J
Ortu, M
Keywords: mining software repositories;faults fixing;networks;software development
Issue Date: 8-Nov-2020
Publisher: Association for Computing Machinery (ACM)
Citation: Bowes, D. et al. (2020) 'Fault-insertion and fault-fixing: Analysing developer activity over time', PROMISE 2020: Proceedings of the 16th ACM International Conference on Predictive Models and Data Analytics in Software Engineering, 8-9 November, Virtual, pp. 41 - 50. doi: 10.1145/3416508.3417117.
Abstract: Developers inevitably make human errors while coding. These errors can lead to faults in code, some of which may result in system failures. It is important to reduce the faults inserted by developers as well as fix any that slip through. To investigate the fault insertion and fault fixing activities of developers. We identify developers who insert and fix faults, ask whether code topic `experts' insert fewer faults, and experts fix more faults and whether patterns of insertion and fixing change over time. We perform a time-based analysis of developer activity on six Apache projects using Latent Dirichlet Allocation (LDA), Network Analysis and Topic Modelling. We show that: the majority of the projects we analysed have developers who dominate in the insertion and fixing of faults; Faults are less likely to be inserted by developers with code topic expertise; Different projects have different patterns of fault inserting and fixing over time. We recommend that projects identify the code topic expertise of developers and use expertise information to inform the assignment of project work. We propose a preliminary analytics dashboard of data to enable projects to track fault insertion and fixing over time. This dashboard should help projects to identify any anomalous insertion and fixing activity.
URI: https://bura.brunel.ac.uk/handle/2438/29895
DOI: https://doi.org/10.1145/3416508.3417117
ISBN: 978-1-4503-8127-7 (ebk)
Other Identifiers: ORCiD: Giuseppe Destefanis https://orcid.org/0000-0003-3982-6355
Appears in Collections:Dept of Computer Science Research Papers

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