Predicting just‐in‐time software defects to reduce post‐release quality costs in the maritime industry

Author:

Kang Jonggu1ORCID,Ryu Duksan2ORCID,Baik Jongmoon1

Affiliation:

1. School of Computing Korea Advanced Institute of Science and Technology Daejeon South Korea

2. Department of Software Engineering Jeonbuk National University Jeonju‐si South Korea

Funder

Chonbuk National University

National Research Foundation of Korea

Publisher

Wiley

Subject

Software

Reference61 articles.

1. BroyM.Challenges in automotive software engineering. Paper presented at: Proceedings of the 28th international conference on software engineering; 2006; Shanghai China.

2. BertramV.Future of shipbuilding and shipping – A technology vision. Paper presented at: 16th International Conference on Computer and IT Applications in the Maritime Industries. No. 989776800; 2017; Cardiff UK.

3. AltingerH SieglS DajsurenY WotawaF.A novel industry grade dataset for fault prediction based on model‐driven developed automotive embedded software. Paper presented at: IEEE/ACM 12th Working Conference on Mining Software Repositories; 2015; Florence Italy.

4. Van LierdeB CardoenW RadosavljevicD.Predictive engineering analytics for shipbuilding – An overview. Paper presented at: 16th International Conference on Computer and IT Applications in the Maritime Industries. No. 989776800; 2017; Cardiff UK.

5. KangJ JinM ParkJ ParkD.A study on application of sensor fusion to collision avoidance system for ships. Paper presented at: ICCAS; 2010; Gyeonggi‐do South Korea.

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