DocumentCode
246430
Title
Effect of Variations in Measurement Process for Software Development Efforts
Author
Singh, Brajesh Kumar ; Punhani, Akash ; Singh, Gaurav Pratap ; Misra, A.K.
Author_Institution
Deptt. of Comput. Sci. & Eng., RBS Coll., Agra, India
fYear
2014
fDate
20-23 Dec. 2014
Firstpage
3
Lastpage
8
Abstract
Researchers have proposed that the reliability of software prediction models can be assessed by the following most widely used evaluation criterion, i.e., Difference Measure and Ratio Measure. Ratio measure is more suitable for the assessment of the accuracy in software cost estimation. Results in this research demonstrated that applying proposed method to the software effort estimation is by far the most feasible approach for addressing the problem of apprehension and ambiguity existing in software effort drivers. Small adjustments to the COCOMO cost drivers bring significant improvements to the quality criteria applied to the proposed approach.
Keywords
device drivers; software cost estimation; software metrics; software performance evaluation; software reliability; COCOMO cost driver; difference measure; evaluation criterion; measurement process; quality criteria; ratio measure; software cost estimation; software development effort; software effort driver; software prediction model; software reliability; Biological cells; Computational modeling; Equations; Estimation; Mathematical model; NASA; Software; COCOMO; Evaluation Criterion; Genetic Algorithm; Non Algorithmic Models; Software Effort Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia, Computer Graphics and Broadcasting (MulGraB), 2014 6th International Conference on
Conference_Location
Haikou
Print_ISBN
978-1-4799-7763-5
Type
conf
DOI
10.1109/MulGraB.2014.8
Filename
7024246
Link To Document