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首页> 外文会议>Proceedings of the IASTED international conferences on informatics 2010 >EFFECTS OF SOURCE CODE REGULARITY ON SOFTWARE MAINTAINABILITY: AN EMPIRICAL STUDY
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EFFECTS OF SOURCE CODE REGULARITY ON SOFTWARE MAINTAINABILITY: AN EMPIRICAL STUDY

机译：源代码规则性对软件可维护性的影响：一项实证研究

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摘要

Identifying the subset of a software system that is affectedrnby a change task is an essential part of software maintenancernand is traditionally addressed through model-sourcerncode tracing. However, due to the high costs associatedrnwith practicing traceability procedures, producing traceablernsystems is often not regarded as a feasible option inrnthe software industry. As a cost-effective alternative to establishingrnand maintaining low-level trace information onrnsoftware systems, we propose to improve maintainabilityrnof software systems through the regularity property of arnsystem’s source code, which can be achieved by consistentlyrnobserving a set of design rules, called requirementcomponentrntraceability rules, throughout the system. Tornunderstand how this form of design uniformity in a system’srnsource code influences maintainability, we conductedrnan empirical study of five developers performing variousrnchange subset identification tasks on two functionallyrnequivalent sets of source codes with different degrees ofrnregularity. High regularity is shown to significantly improvernsoftware maintainability. We express our findings asrna number of detailed hypotheses and a theory of the effectsrnof source code regularity.
机译：识别受变更任务影响的软件系统的子集是软件维护的重要部分，并且传统上是通过模型源代码跟踪来解决的。但是，由于与实施可追溯程序相关的高昂成本，在软件行业中，通常无法将生产可追溯系统视为可行的选择。作为在软件系统上建立和维护低级跟踪信息的一种经济有效的替代方案，我们建议通过arnsystem源代码的规则性来改善软件系统的可维护性，这可以通过在整个过程中一致地遵循一组设计规则（称为requirecomponentrntraceability规则）来实现。系统。为了理解系统源代码中这种形式的设计均匀性如何影响可维护性，我们对五名开发人员进行了实证研究，他们对两个功能等效的不同规则集的源代码集执行了各种变更子集识别任务。高规律性可显着提高软件的可维护性。我们用详细假设的数量和影响源代码规则性的理论来表达我们的发现。

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