We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

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

by Terungwa Simon Yange, Onyekware U. Oluoha
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 20
Year of Publication: 2018
Authors: Terungwa Simon Yange, Onyekware U. Oluoha
10.5120/ijca2018916466

Terungwa Simon Yange, 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 ( Feb 2018), 17-23. DOI=10.5120/ijca2018916466

@article{ 10.5120/ijca2018916466,
author = { Terungwa Simon Yange, 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 = { Feb 2018 },
volume = { 180 },
number = { 20 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number20/29048-2018916466/ },
doi = { 10.5120/ijca2018916466 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:01:12.953284+05:30
%A Terungwa Simon Yange
%A Onyekware U. Oluoha
%T The Evaluation of Software Solutions for Reliability using Modified Musa’s Basic Execution Time Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 20
%P 17-23
%D 2018
%I Foundation of Computer Science (FCS), NY, 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
  1. Urem, F. and Mikulic, Z. 2010. Developing operational profile for ERP software module Reliability Prediction. 2010 Proceedings of the 33rd International Convention, Department of management, College of Sibenik, Crotia, 409-413.
  2. Pai, G. 2002. A Survey of Software Reliability Models. Department of ECE University of Virginia, VA,1-12.
  3. Musa, J. D. 1993. Operational Profiles in Software Reliability Engineering. IEEE Software Magazine, 14-32.
  4. Koziolek, H. 2005. Operational Profiles for Software Reliability. Seminar “Dependability Engineering”, 1-17.
  5. Lyu, M. R. 2007. Software Reliability Engineering: A Roadmap. Future of Software Engineering, 2007. FOSE ’07, 153-170.
  6. Johnson, M. 2006. Linking NANDA-I, NOC, and NIC. International Journal of Nursing Terminologies & Classifications, 17(1): 39-40.
  7. NANDA International (Eds.). 2009. Nursing Diagnoses: Definition & Classification, 2009-2011. Oxford: Wiley-Blackwell.
  8. NANDA International (Eds.). 2012. Nursing Diagnoses: Definition & Classification, 2012- 2014. Oxford: Wiley-Blackwell.
  9. Moorhead, S., Johnson, M., Maas, M., and Swanson, E. (Eds.). 2008. Nursing outcomes classification (NOC) (4th ed.). St. Louis, MO: Mosby.
  10. Bulechek, G. M., Butcher, H. and Dochterman, J. M. (Eds.). 2008. Nursing Interventions Classification (NIC). (5th ed.). St. Louis, MO: Mosby.
  11. Gordon, M. 1994. Nursing diagnosis, process and application (3rd ed.). St Louis, MO: Mosby.
Index Terms

Computer Science
Information Sciences

Keywords

Black box reliability healthcare software reliability testing testing.

Powered by PhDFocusTM