巴西软件工程研讨会上的软件测试评价研究

Otávio Augusto Lazzarini Lemos, F. Ferrari, M. Eler, J. Maldonado, P. Masiero
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引用次数: 5

摘要

实验是科学研究中确定因果关系的传统方法。最近,越来越多的人认识到,实验和其他形式的评估应该在计算机科学,特别是软件工程(SE)研究人员中更彻底地传播。软件测试(ST)是一个重要的SE主题,其中实验特别有价值:由于成本约束和高效目标在这个子领域中很常见,因此必须充分评估成本/收益特征,以确定特定方法是否有用。本文报告了在巴西软件工程研讨会(SBES)上发表的ST研究中评估研究的历史观点。该调查描述了SBES 24年历史中发表的与软件测试相关的论文的特征,调查了这些研究中提出的评估类型——何时提出的评估——以及评估的数量是否在这些年里有所增加。此外,调查还带来了巴西软件测试社区的初步特征,该社区采用SBES作为发布其研究的工具。结果表明,近年来,评价研究的论文数量显著增加。然而,不利的一面是,在描述某种评估的论文中,只有20%的论文进行了更严格的评估(例如,工业背景下的实验或案例研究),而80%的论文描述了探索性的、不那么严格的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation Studies of Software Testing Research in the Brazilian Symposium on Software Engineering
Experimentation is the traditional way of identifying cause-effect relationships in scientific research. Lately, there has been an increasing understanding that experiments and other forms of evaluation should be more thoroughly disseminated among computer science and, in particular, Software Engineering (SE) researchers. Software testing (ST) is an important SE topic, where experiments are particularly valuable: since cost constraints and high effectiveness goals are common within this subfield, cost/benefit characteristics have to be adequately evaluated to deem a specific approach useful or not. This paper reports on a historical perspective of the evaluation studies present in ST research published in the Brazilian Symposium on Software Engineering (SBES). The survey characterizes the software testing-related papers published in the 24-year history of SBES, investigates the types of evaluation presented in these studies - when they were presented at all - and whether the number of evaluations has increased over the years. Additionally, the survey also brings a preliminary characterization of the Brazilian software testing community that adopts SBES as a vehicle to publish its research. Results show that the number of papers that present evaluation studies have significantly increased over the years. However, on the downside, amongst the papers that described some kind of evaluation, only 20% performed more rigorous evaluations (e.g. experiments or case studies in the industrial context), whereas 80% described exploratory, less rigorous case studies.
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