A. V. Mayrhauser, M. Vans, A. Howe
{"title":"Program understanding behaviour during enhancement of large-scale software","authors":"A. V. Mayrhauser, M. Vans, A. Howe","doi":"10.1002/(SICI)1096-908X(199709/10)9:5%3C299::AID-SMR157%3E3.0.CO;2-S","DOIUrl":null,"url":null,"abstract":"This paper reports on a software understanding field study during the enhancement of large-scale software. The participants were professional software maintenance personnel from industry. The paper reports on the general understanding process, the kinds of actions programmers preferred during the enhancement task, the level of abstraction at which they were working, and role of hypotheses in the enhancement strategies they used. The results of the observations are also interpreted in terms of the information needs of these personnel during the enhancement task. We found that programmers work predominantly at the code and algorithmic levels with differences depending on the stage of the enhancement. They frequently switch between levels of abstraction. The programmers' main concerns are with what software does and how this is accomplished, not why software was built a certain way. These questions guide the work process. There was strong indication that memory (over)load is an issue. This is, of course, related to the size of the software. Information is sought and cross-referenced from a variety of sources from application domain concepts to code-related information, outpacing current maintenance environments' capabilities which are mostly stratified by information sources, making cross-referencing difficult. © 1997 John Wiley & Sons, Ltd.","PeriodicalId":383619,"journal":{"name":"J. Softw. Maintenance Res. Pract.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"96","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Softw. Maintenance Res. Pract.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1096-908X(199709/10)9:5%3C299::AID-SMR157%3E3.0.CO;2-S","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 96
大型软件增强过程中的程序理解行为
本文报道了大规模软件增强过程中软件认识的实地研究。参与者是来自行业的专业软件维护人员。本文报告了一般的理解过程,程序员在增强任务中首选的操作类型,他们工作的抽象级别,以及他们使用的增强策略中假设的作用。观察结果也根据这些人员在加强任务期间的信息需要加以解释。我们发现程序员主要在代码和算法层面工作,根据增强的阶段而有所不同。它们经常在抽象层次之间切换。程序员主要关心的是软件做什么以及如何完成,而不是软件为什么要以某种方式构建。这些问题指导着工作过程。有强烈的迹象表明,内存(过度)负载是一个问题。当然,这与软件的大小有关。从应用程序领域概念到与代码相关的信息,从各种来源寻找和交叉引用信息,超过了当前维护环境的能力,这些环境大多是按信息源分层的,使得交叉引用变得困难。©1997 John Wiley & Sons, Ltd
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