This paper provides a new approach to estimate the software reliability by the data sets obtained from the upper process of software development. The approach employs the group method of data handling (GMDH) which can...
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ISBN:
(纸本)9780769549330;9781479903153
This paper provides a new approach to estimate the software reliability by the data sets obtained from the upper process of software development. The approach employs the group method of data handling (GMDH) which can be considered as an extension of a multiple regression analysis in this study. We first explain the concept of GMDH approach briefly and then, we discuss how the better model is constructed. By using the actual data sets from the upper process of the real software development, we try to estimate the number of inherent software faults. We compare two proposed models with a traditional multiple regression model in terms of the goodness-of-fit to the data sets.
This paper provides a new approach to estimate the software reliability by the data sets obtained from the upper process of software development. The approach employs the group method of data handling (GMDH) which can...
详细信息
ISBN:
(纸本)9781479903153
This paper provides a new approach to estimate the software reliability by the data sets obtained from the upper process of software development. The approach employs the group method of data handling (GMDH) which can be considered as an extension of a multiple regression analysis in this study. We first explain the concept of GMDH approach briefly and then, we discuss how the better model is constructed. By using the actual data sets from the upper process of the real software development, we try to estimate the number of inherent software faults. We compare two proposed models with a traditional multiple regression model in terms of the goodness-of-fit to the data sets.
First-year graduate students in software engineering at the University of Southern California (Los Angeles) were told to deliver a small interactive version of the COCOMO model for estimating software costs. Two team...
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First-year graduate students in software engineering at the University of Southern California (Los Angeles) were told to deliver a small interactive version of the COCOMO model for estimating software costs. Two teams specified and developed independent versions of this product, one team using Fortran, the other using Pascal. At the conclusion of the project, it was determined that: 1. Large-scale software engineering procedures, such as unit development folders and walkthroughs, can be cost-effectively tailored to small projects. 2. The choice of programming language is not the dominant factor in small software product development. 3. Programming is not the dominant activity in small software product development. 4. Intermediate ''deadlines'' can help to assure on-time completion of small softwareprojects. 5. Most of the code in a small applications software product is devoted to ''housekeeping.''
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