Reducing feedback delay of software development tools via continuous analyses

Software Engineering, IEEE Transactions  (2015)

引用 17|浏览57
暂无评分
摘要
During software development, the sooner a developer learns how code changes affect program analysis results, the more helpful that analysis is. Manually invoking an analysis may interrupt the developer’s workflow or cause a delay before the developer learns the implications of the change. A better approach is continuous analysis tools that always provide up-to-date results. We present Codebase Replication, a technique that eases the implementation of continuous analysis tools by converting an existing offline analysis into an IDE-integrated, continuous tool with two desirable properties: isolation and currency. Codebase Replication creates and keeps in sync a copy of the developer’s codebase. The analysis runs on the copy codebase without disturbing the developer and without being disturbed by the developer’s changes. We develop Solstice, an open-source, publicly-available Eclipse plug-in that implements Codebase Replication. Solstice has less than 2.5 milliseconds overhead for most common developer actions. We use Solstice to implement four Eclipse-integrated continuous analysis tools that convert the offline versions of FindBugs, PMD, data race detection, and unit testing. Each conversion requires on average 710 LoC and 20 hours of implementation effort. Case studies indicate that Solstice-based continuous analysis tools are intuitive and easy-to-use.
更多
查看译文
关键词
codebase replication,continuous analysis,solstice,testing,servers,synchronization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要