QATCH - An adaptive framework for software product quality assessment

作者：

Highlights：

• An adaptive software quality model extraction methodology is proposed.

• The respective software assessment framework is developed and available online.

• Static analysis and benchmarking is adopted for automated threshold derivation.

• A fuzzy AHP technique is introduced for model weights elicitation.

• A base quality model is generated and employed for the verification of the framework.

摘要

•An adaptive software quality model extraction methodology is proposed.•The respective software assessment framework is developed and available online.•Static analysis and benchmarking is adopted for automated threshold derivation.•A fuzzy AHP technique is introduced for model weights elicitation.•A base quality model is generated and employed for the verification of the framework.

论文关键词：Software quality assessment,Software engineering,Multi-criteria decision making,Fuzzy analytic hierarchy process,Software static analysis,Quality metrics

论文评审过程：Received 1 February 2017, Revised 24 May 2017, Accepted 25 May 2017, Available online 25 May 2017, Version of Record 9 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.060