The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Software Performance Estimate using Fuzzy Based Backpropagation Learning
Abstract
Accurate estimation of the software performance and its reliability is an important task in designing, developing and implementing software as per the desired requirements. With the increase in individuals relying on software application in their daily lives has resulted in increase in demand for good quality software with efficient performance. The professionals in the software industry are facing an uphill task of developing software with efficient performance measure and at the same time capable of evaluating software performance. In order to evaluate software performance it is necessary to have a method to estimate the software performance. The estimation of software performance plays an important role in predicting acceptability and longevity of a software product. Software performance estimation is essential in existing software-dominated environment where part of daily life is directly or indirectly dependent on software for fulfilling requirements. In this chapter discusses the reasons underlying the proposals and shows the pitfalls associated to these software attributes.
Related Content
Jun Sung Hong, Alberto Valido, Luz E. Robinson.
© 2024.
26 pages.
|
Adrijana GrmuĊĦa, Jun Sung Hong.
© 2024.
48 pages.
|
Justin J. Joseph, N. Alexander Aguado, Christoper W. Purser.
© 2024.
30 pages.
|
Sivani Pegadraju, Zidan Kachhi.
© 2024.
26 pages.
|
Ramona Sue McNeal, Susan M. Kunkle, Lisa Dotterweich Bryan, Mary Schmeida.
© 2024.
24 pages.
|
Angela R. Staton, Tammy Gilligan, Michele Kielty.
© 2024.
22 pages.
|
Ranjit Singha, Surjit Singha, Alphonsa Diana Haokip, Shruti Jose, V. Muthu Ruben.
© 2024.
14 pages.
|
|
|