Dc-srgm: Deep cross-project software reliability growth model

Kyawt Kyawt San, Hironori Washizaki, Yoshiaki Fukazawa, Kiyoshi Honda, Masahiro Taga, Akira Matsuzaki

研究成果: Conference contribution

抄録

Previous studies have suggested that software reliability growth models (SRGMs) for cross-project predictions are more practical for ongoing development projects. Several software reliability growth models (SRGMs) have been proposed based on various factors to measure the reliability and are helpful to indicate the number of remaining defects before release. Software industries want to predict the number of bugs and monitor the situation of projects for new or ongoing development projects. However, the available data is limited for projects in the initial development phases. In this situation, applying SRGMs may incorrectly predict the future number of bugs. This paper proposes a new SRGM method using the features of previous projects to predict the number of bugs for ongoing development projects. Through a case study, we identify similar projects for a target project by k-means clustering and form new training datasets. The Recurrent Neural Network based deep long short-Term memory model is built over the obtained new dataset for prediction model. According to experiment results, the prediction by the proposed deep cross-project (DC) SRGM performs better than traditional SRGMs and deep SRGMs for ongoing projects.

本文言語English
ホスト出版物のタイトルProceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops, ISSREW 2019
編集者Katinka Wolter, Ina Schieferdecker, Barbara Gallina, Michel Cukier, Roberto Natella, Naghmeh Ivaki, Nuno Laranjeiro
出版社Institute of Electrical and Electronics Engineers Inc.
ページ61-66
ページ数6
ISBN(電子版)9781728151380
DOI
出版ステータスPublished - 2019 10
イベント30th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2019 - Berlin, Germany
継続期間: 2019 10 282019 10 31

出版物シリーズ

名前Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops, ISSREW 2019

Conference

Conference30th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2019
国/地域Germany
CityBerlin
Period19/10/2819/10/31

ASJC Scopus subject areas

  • ソフトウェア
  • 安全性、リスク、信頼性、品質管理

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