解读代码:关于辅助功能实施过程中开发实践影响的深入实证研究

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Software Quality Journal Pub Date : 2024-06-25 DOI:10.1007/s11219-024-09682-4
Otávio Lemos, Fábio Silveira, Fabiano Ferrari, Tiago Silva, Eduardo Guerra, Alessandro Garcia
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引用次数: 0

摘要

软件系统中的辅助功能往往因其简单易用而被忽视,但它们在整个系统的可靠性方面却发挥着至关重要的作用。本研究重点关注敏捷实践的有效性,特别是结对编程和测试优先编程实践。尽管这些功能非常重要,但有关敏捷实践对其开发的影响的实证证据却非常匮乏,这让人们对敏捷实践在不影响产品上市时间的情况下提高正确性的潜力产生了疑问。本文旨在通过比较敏捷实践与传统方法在辅助功能开发中的应用,弥补这一不足。我们进行了六次实验,共有 122 名参与者(85 名新手和 37 名专业人员)参加,他们同时使用传统方法和敏捷方法开发了三个不同领域的六个辅助功能。我们对 244 个实施方案的分析表明,敏捷实践在辅助功能开发中具有潜在优势。结对编程显示出提高正确性的趋势,而测试优先编程并没有显著延长总开发时间,尤其是在专业人员中。不过,对这些发现应谨慎解读,因为它们并不能最终确定敏捷实践普遍优于传统方法。正如我们的研究结果所示,敏捷实践的潜在优势可能会因程序员的经验水平和开发功能的性质等因素而有所不同。我们需要进一步研究,以充分了解这些实践在哪些情况下可以得到最有效的应用,并解决我们的研究可能存在的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Unraveling the code: an in-depth empirical study on the impact of development practices in auxiliary functions implementation

Auxiliary functions in software systems, often overlooked due to their perceived simplicity, play a crucial role in overall system reliability. This study focuses on the effectiveness of agile practices, specifically the pair programming and the test-first programming practices. Despite the importance of these functions, there exists a dearth of empirical evidence on the impact of agile practices on their development, raising questions about their potential to enhance correctness without affecting time-to-market. This paper aims to bridge this gap by comparing the application of agile practices with traditional approaches in the context of auxiliary function development. We conducted six experiments involving 122 participants (85 novices and 37 professionals) who used both traditional and agile methods to develop six auxiliary functions across three different domains. Our analysis of 244 implementations suggests the potential benefits of agile practices in auxiliary function development. Pair programming showed a tendency towards improved correctness, while test-first programming did not significantly extend the total development time, particularly among professionals. However, these findings should be interpreted cautiously as they do not conclusively establish that agile practices outperform traditional approaches universally. As indicated by our results, the potential benefits of agile practices may vary depending on factors such as the programmer’s experience level and the nature of the functions being developed. Further research is needed to fully understand the contexts in which these practices can be most effectively applied and to address the potential limitations of our study.

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来源期刊
Software Quality Journal
Software Quality Journal 工程技术-计算机:软件工程
CiteScore
4.90
自引率
5.30%
发文量
26
审稿时长
>12 weeks
期刊介绍: The aims of the Software Quality Journal are: (1) To promote awareness of the crucial role of quality management in the effective construction of the software systems developed, used, and/or maintained by organizations in pursuit of their business objectives. (2) To provide a forum of the exchange of experiences and information on software quality management and the methods, tools and products used to measure and achieve it. (3) To provide a vehicle for the publication of academic papers related to all aspects of software quality. The Journal addresses all aspects of software quality from both a practical and an academic viewpoint. It invites contributions from practitioners and academics, as well as national and international policy and standard making bodies, and sets out to be the definitive international reference source for such information. The Journal will accept research, technique, case study, survey and tutorial submissions that address quality-related issues including, but not limited to: internal and external quality standards, management of quality within organizations, technical aspects of quality, quality aspects for product vendors, software measurement and metrics, software testing and other quality assurance techniques, total quality management and cultural aspects. Other technical issues with regard to software quality, including: data management, formal methods, safety critical applications, and CASE.
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