Abstract
Monitoring the results of software reliability growth models (SRGMs) helps evaluate project's situations. SRGMs are used to measure the reliability of software by analyzing the relations between the number of detected bugs and the detected time to predict the number of remaining bugs within the software. For example, development managers apply a SRGM to the number of detected bugs and the detected time to predict the number of remaining bugs. Sometimes the SRGM results cause managers to make incorrect decisions because the results are temporary snapshots that change as a development progresses. We propose a method to help evaluate a project's qualities by monitoring the results of SRGM applications. We collected the number of detected bugs and the detected time in the test phases for cloud services provided by e-Seikatsu Co., Ltd. to real estate businesses. The datasets contain about 34 cloud service features. The evaluation found that our method provides correct answers for 29 features and incorrect answers for 5 features.
Original language | English |
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Title of host publication | Proceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 169-174 |
Number of pages | 6 |
ISBN (Electronic) | 9781538623879 |
DOIs | |
Publication status | Published - 2017 Nov 14 |
Event | 28th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2017 - Toulouse, France Duration: 2017 Oct 23 → 2017 Oct 26 |
Other
Other | 28th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2017 |
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Country/Territory | France |
City | Toulouse |
Period | 17/10/23 → 17/10/26 |
Keywords
- Fault Analysis
- Project Monitoring
- Software Reliability Growth Model
ASJC Scopus subject areas
- Software
- Safety, Risk, Reliability and Quality