Kiyoshi Honda, Hironori Washizaki, Yoshiaki Fukazawa, Masahiro Taga, Akira Matsuzaki and Takayoshi Suzuki, “Empirical Study on Recognition of Project Situations by Monitoring Application Results of Software Reliability Growth Model,” Fostering Industry-Academic Software Reliability Studies (FIARS) Workshop, Co-located with ISSRE 2017, October 23-26, Toulouse, France

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.