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The Evaluation of Software Solutions for Reliability using Modified Musa’s Basic Execution Time Model

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Terungwa Simon Yange, Onyekware U. Oluoha
10.5120/ijca2018916466

Terungwa Simon Yange and Onyekware U Oluoha. The Evaluation of Software Solutions for Reliability using Modified Musa’s Basic Execution Time Model. International Journal of Computer Applications 180(20):17-23, February 2018. BibTeX

@article{10.5120/ijca2018916466,
	author = {Terungwa Simon Yange and Onyekware U. Oluoha},
	title = {The Evaluation of Software Solutions for Reliability using Modified Musa’s Basic Execution Time Model},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2018},
	volume = {180},
	number = {20},
	month = {Feb},
	year = {2018},
	issn = {0975-8887},
	pages = {17-23},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume180/number20/29048-2018916466},
	doi = {10.5120/ijca2018916466},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Software systems have gained great significance for most organizations on an operational as well as a strategic level. Failures before delivery or more often changes in existing software systems are stochastic processes and it is important for programmers (or users) to predict reliability of software product they are developing (or using) in order to accept that as business risk. In this paper we have used the Modified Musa Basic Execution Time Model to show how to evaluate a healthcare solution called electronic Nursing Care Management System (eNCMS). We used black box testing to ascertain that the software achieved it basic functions. Five (5) patient records collected from Obafemi Awolowo University Teaching Hospital Complex (OAUTHC) were used during this evaluation and the outcome shows that the system achieved 75% reliability.

References

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Keywords

Black box, reliability, healthcare, software reliability testing, testing.