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Individual preparation for formal technical reviews of information system diagrams: A cognitive approach.

机译:信息系统图的正式技术评论的个人准备:一种认知方法。

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摘要

Improving software quality requires effective, yet efficient, methods for software defect reduction/removal. Formal Technical Review (FTR) detects defects early in the development cycle, thus improving quality while reducing cost. Research indicates the practitioner evaluation phase (PE) of FTR is key to FTR effectiveness. This study examines cognitive processes used by twelve experienced IT practitioners to detect diagrammatic model defects during PE.; Prior research and practice focus on FTR of textual specifications of software systems; little research addresses defect detection in diagrammatic specifications. Diagrammatic models are becoming a dominant form of software specification, and code-generating CASE tools, which make text-based FTR impossible, are increasingly being used.; Cognitive theory indicates spatial configuration differences are associated with differences in understanding, and therefore in diagrammatic review effectiveness of defect identification. Complex information processing tasks like diagrammatic review produce cognitive load that negatively affects performance—theory indicates process-coping strategies (e.g., task planning) can be used to compensate. Theoretical implications are investigated via three research issues: (1) What search patterns are utilized in searching for defects across software diagrams and how do these patterns impact effectiveness? (2) What search patterns are utilized in searching for defects within a diagram and how do these patterns impact effectiveness? (3) What amounts of task planning are utilized during defect detection and how do amount variations impact effectiveness?; Subject performed a verbal protocol while inspecting a defect-seeded software specification. Two raters coded the verbal protocol with high interrater reliability. Subject utterances were visually analyzed for defect search patterns; discovered patterns were related to effectiveness. The task-planning utterances/effectiveness relationship was analyzed statistically.; Search pattern variations across diagrammatic data and process models are associated with effectiveness differences. Patterns for searches within the data model are not discerned. Significant task-planning variations are found; variations are positively associated with effectiveness.; The study supports the cognitive theory thesis that how an individual processes information impacts processing success, and extends the theory to include search-type tasks with visual/diagrammatic stimuli. For MIS and software engineering, the study establishes the explanatory power of cognitive theory for the software-testing context. Specific recommendations for improving practice are advanced.
机译:提高软件质量需要有效而又有效的方法来减少/消除软件缺陷。正式技术评审(FTR)在开发周期的早期发现缺陷,从而在降低成本的同时提高了质量。研究表明,FTR的从业人员评估阶段(PE)是FTR有效性的关键。这项研究考察了12位经验丰富的IT从业人员用来检测PE中图表模型缺陷的认知过程。先前的研究和实践侧重于软件系统文本规范的FTR;很少有研究涉及图解规范中的缺陷检测。图解模型正成为软件规范的主要形式,并且越来越多地使用了代码生成的CASE工具,这些工具使基于文本的FTR变得不可能。认知理论表明,空间构型的差异与理解的差异有关,因此与缺陷识别的图解复查有效性有关。复杂的信息处理任务(如图解审阅)会产生对绩效产生负面影响的认知负担-理论表明流程应对策略(例如任务计划)可用于补偿。理论意义是通过三个研究问题进行研究的:(1)在软件图中搜索缺陷时使用了哪些搜索模式,这些模式如何影响有效性? (2)在图内搜索缺陷时使用了哪些搜索模式,这些模式如何影响有效性? (3)在缺陷检测期间使用了多少任务计划,数量变化如何影响有效性?对象在检查有缺陷的软件规范时执行了口头协议。两个评估者以较高的语言可靠性对口头协议进行编码。视觉分析主题话语的缺陷搜索模式;发现的模式与有效性有关。对任务计划的话语/效果关系进行了统计分析。跨图表数据和过程模型的搜索模式变异与有效性差异相关。无法识别数据模型中内的搜索模式。发现重大的任务计划变化;变化与有效性呈正相关。该研究支持认知理论的论点,即个人如何处理信息会影响处理成功,并将该理论扩展到包括具有视觉/语法刺激的搜索型任务。对于MIS和软件工程,该研究建立了认知理论对软件测试环境的解释能力。提出了改进实践的具体建议。

著录项

  • 作者

    Hungerford, Bruce Carter.;

  • 作者单位

    University of South Florida.;

  • 授予单位 University of South Florida.;
  • 学科 Information Science.; Business Administration Management.; Psychology Cognitive.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 p.1603
  • 总页数 280
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息与知识传播;
  • 关键词

  • 入库时间 2022-08-17 11:45:59

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