VESTA: A View-based Software Quality Assessment model for software evolution management

Wei Chung Hu, Chia Hung Kao, Feng Pu Yang, Hewijin-Christine Jiau, Kuo-Feng Ssu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

To ensure software evolution happens in a systematic and controlled manner, several software metric suites and quality models have been developed as tools for various purposes to describe, predict, and manage software quality evolution. However, these tools cannot generate the needed data for stakeholders because they are all from the developer's view. This study introduces a View-basEd Software qualiTy Assessment (VESTA) model to guide the utilization and integration of existing quality assessment tools from various views of stakeholders. With specified software quality views and quality assessment tools, stakeholders can obtain appropriate measurement data they want. VESTA further provides a multi-languages view with the evaluation result on an open source project.

Original languageEnglish
Title of host publicationSEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering
Pages345-348
Number of pages4
Publication statusPublished - 2010 Dec 1
Event22nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2010 - Redwood City, CA, United States
Duration: 2010 Jul 12010 Jul 3

Publication series

NameSEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering

Other

Other22nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2010
CountryUnited States
CityRedwood City, CA
Period10-07-0110-07-03

All Science Journal Classification (ASJC) codes

  • Software

Cite this

Hu, W. C., Kao, C. H., Yang, F. P., Jiau, H-C., & Ssu, K-F. (2010). VESTA: A View-based Software Quality Assessment model for software evolution management. In SEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering (pp. 345-348). (SEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering).