Static Software Metrics for Reliability and Maintainability

被引：3
|
作者：
Ludwig, Jeremy [1 ]
Xu, Steven [1 ]
Webber, Frederick [2 ]
机构：
[1] Stottler Henke Associates Inc, San Mateo, CA 94402 USA
[2] Air Force Res Lab, 711th HPW RHAS, Wright Patterson AFB, OH USA
来源：
2018 IEEE/ACM INTERNATIONAL CONFERENCE ON TECHNICAL DEBT (TECHDEBT) | 2018年
关键词：
Software product quality; technical debt; reliability; maintainability; architecture; metrics; static code analysis; TECHNICAL DEBT;
D O I：
10.1145/3194164.3194184
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper identifies a small, essential set of static software code metrics linked to the software product quality characteristics of reliability and maintainability and to the most commonly identified sources of technical debt. An open-source plug-in is created for the Understand code analysis tool that calculates and visualizes these metrics. The plug-in was developed as a first step in an ongoing project aimed at applying case-based reasoning to the issue of software product quality.(1)
引用
收藏
页码：53 / 54
页数：2
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