Hypothesis-driven understanding processes during corrective maintenance of large scale software
Hypothesis-driven understanding processes during corrective maintenance of large scale software
复制标题
大型软件纠正维护过程中假设驱动的理解过程
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
Marie Vans
中科院分区：
文献类型：
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作者：
Marie Vans
本文报告了专业维护程序员在对大型软件进行纠正性维护期间对软件理解的实证策略。假设是程序理解的关键驱动因素，影响着程序理解的方向。本文报告了程序员提出的假设类型、他们是如何解决这些假设的，以及他们倾向于使用的策略和理解过程。
This paper reports on an empirical strategy of software understanding during corrective maintenance of large-scale software with professional maintenance programmers. Hypotheses are key drivers in program understanding and influence the direction program understanding can take. This paper reports on the types of hypotheses programmers make, how they resolve them, and the strategies and comprehension processes they tend to use