Working Paper Article Version 1 This version is not peer-reviewed

HASPO: Harmony Search-based Parameter Optimization for Just-in-Time Software Defect Prediction in the Maritime Software

Version 1 : Received: 30 December 2020 / Approved: 31 December 2020 / Online: 31 December 2020 (09:27:46 CET)

How to cite: Kang, J.; Kwon, S.; Ryu, D.; Baik, J. HASPO: Harmony Search-based Parameter Optimization for Just-in-Time Software Defect Prediction in the Maritime Software. Preprints 2020, 2020120781 Kang, J.; Kwon, S.; Ryu, D.; Baik, J. HASPO: Harmony Search-based Parameter Optimization for Just-in-Time Software Defect Prediction in the Maritime Software. Preprints 2020, 2020120781

Abstract

Software is playing the most important role in recent vehicle innovation, and consequently the amount of software has been rapidly growing last decades. Safety-critical nature of ships, one sort of vehicles, makes Software Quality Assurance (SQA) has gotten to be a fundamental prerequisite. Just-In-Time Software Defect Prediction (JIT-SDP) aims to conduct software defect prediction (SDP) on commit-level code changes to achieve effective SQA resource allocation. The first case study of SDP in maritime domain reported feasible prediction performance. However, we still consider that the prediction model has still rooms for improvement since the parameters of the model are not optimized yet. Harmony Search (HS) is a widely used music-inspired meta-heuristic optimization algorithm. In this article, we demonstrated that JIT-SDP can produce the better performance of prediction by applying HS-based parameter optimization with balanced fitness value. Using two real-world datasets from the maritime software project, we obtained an optimized model that meets the performance criterion beyond baseline of previous case study throughout various defect to non-defect class imbalance ratio of datasets. Experiments with open source software also showed better recall for all datasets despite we considered balance as performance index. HS-based parameter optimized JIT-SDP can be applied to the maritime domain software with high class imbalance ratio. Finally, we expect that our research can be extended to improve performance of JIT-SDP not only in maritime domain software but also in open source software.

Subject Areas

harmony search; meta-heuristic; parameter optimization; software defect prediction; just-in-time prediction; software quality assurance; maintenance; maritime transportation

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.