J. Henry, James P. Cain
{"title":"A quantitative comparison of perfective and corrective software maintenance","authors":"J. Henry, James P. Cain","doi":"10.1002/(SICI)1096-908X(199709/10)9:5%3C281::AID-SMR154%3E3.0.CO;2-P","DOIUrl":null,"url":null,"abstract":"This paper presents a quantitative comparison of perfective and corrective software maintenance performed by a large military contractor using a formal program release process. The analysis techniques used in the comparison make use of basic data collected throughout the maintenance process. The data collected allow the impact of performing perfective and corrective maintenance to be quantitatively compared. Both parametric and non-parametric statistical techniques are applied to test relationships between and among process and product data. The results provide valuable information for predicting future process and product characteristics, assessing perfective and corrective maintenance impact, and quantitatively comparing the impact of both types of requirements volatility. The results also support one common rule of thumb, cast some doubt on another, and lead to the formulation of a new one. © 1997 John Wiley & Sons, Ltd.","PeriodicalId":383619,"journal":{"name":"J. Softw. Maintenance Res. Pract.","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","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%3C281::AID-SMR154%3E3.0.CO;2-P","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
对完美的和正确的软件维护进行定量比较
本文对一家大型军事承包商使用正式的程序发布过程进行的完善和纠正性软件维护进行了定量比较。对比中使用的分析技术利用了整个维护过程中收集的基本数据。收集的数据可以定量地比较执行完美维护和纠正维护的影响。参数和非参数统计技术都应用于测试过程和产品数据之间的关系。结果提供了有价值的信息,用于预测未来的过程和产品特性,评估完美的和纠正性的维护影响,以及定量地比较两种类型的需求波动的影响。研究结果还支持了一个普遍的经验法则,对另一个法则提出了质疑,并导致了一个新法则的形成。©1997 John Wiley & Sons, Ltd
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