Measurement of Usability of Office Application Using a Fuzzy Multi-Criteria Technique

Full Text (PDF, 363KB), PP.64-72

Views: 0 Downloads: 0

Author(s)

Sanjay Kumar Dubey 1,* Sumit Pandey 1

1. Department of Computer Science & Engineering, Amity University, Noida, 201303, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2015.04.07

Received: 20 Apr. 2014 / Revised: 3 Oct. 2014 / Accepted: 27 Dec. 2014 / Published: 8 Mar. 2015

Index Terms

Software System, Quality Model, Fuzzy, Usability, Ms-Excel

Abstract

Software Quality is very important aspect for any software development company. Software quality measurement is also a major concern for improving the software applications in software development processes in these companies. The quantification of various quality factors and integrate them into various software quality models is very important to analyze the quality of software system. Software usability is one of the important quality factors now days due to the increasing demand of interactive and user friendly software systems.
In this paper, an attempt has been made to quantifying the usability of Ms-Excel 2007 and Ms-Excel 2010 application software using ISO/IEC 9126 model and compare the numeric value of usability for both version of Ms-Excel 2007 and Ms-Excel 2010. Due to the random nature of the usability attributes, the fuzzy multi criteria decision technique has been used to evolve the usability of the software office application. The present method will be helpful to analyze and enhance the quality of interactive software system.

Cite This Paper

Sanjay Kumar Dubey, Sumit Pandey, "Measurement of Usability of Office Application Using a Fuzzy Multi-Criteria Technique", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.4, pp.64-72, 2015. DOI:10.5815/ijitcs.2015.04.07

Reference

[1]R. W. Hoyer, and B. B. Y.Hoyer, "What is quality?", Quality Progress, no. 7, pp. 52-62, 2001.

[2]International Organization for Standardization. ISO 9241-11, Ergonomic requirements for office work with visual display terminals (VDTs), Part 11: Guidance on usability. Geneva Switzerland: Author,1998.

[3]International Organization for Standardization/ International Electro Technical Commission. ISO/IEC 9126-1, Software Engineering, product Quality, Part 1: Quality Model, Geneva Switzerland: Author, 2001.

[4]J. Grudin ,”Utility and usability research issues and development context”, Interacting with computer, vol. 4, no. 2, pp. 209-217, 1992.

[5]T.J. Ross, Fuzzy Logic with Engineering Applications,2nd Ed, Wiley India Pvt. Ltd, New Delhi, India, 2004.

[6]P. R. Srivastava and K. Kumar, “An Approach towards Software Quality Assessment,” Communications in Computer and Information Systems Series (CCIS Springer Verlag), Vol.31, No.6, 2009, pp.345-346.

[7]P. R. Srivastava, A. P. Singh, K.V. Vageesh, “Assessment of Software Quality: A Fuzzy Multi Criteria Approach,” Evolution of Computationand Optimization Algorithms in Software Engineering: Applications and Techniques, IGI Global USA, 2010, chapter - 11, pp.200-219.

[8]A. Sharma, R. Kumar and P.S. Grover, “Estimation of Quality for Software Components - an Empirical Approach,” ACM SIGSOFT Software Engineering Notes, Vol.33, No.5, November, 2008, pp.1-10.

[9]S.A. Slaughter, D. E. Harter, & M. S. Krishnan, “Evaluating the Cost of Software Quality” Communications of the ACM, Vol.41, No.8, August, 1998, pp.67-73.

[10]M. Agarwal, & K. Chari, “Software Effort, Quality, and Cycle Time: A Study of CMM Level 5 Projects,” IEEE Transactions on Software Engineering, Vol.33, No.3, March, 2007, pp.145-156.

[11]O. Maryoly, M.A. Perez and T. Rojas, “Construction of a Systemic Quality Model for Evaluating Software Product,” Software Quality Journal, Vol.11, No.3, July, 2003, pp.219-242.

[12]O. Lamouchi, A.R. Cherif, and N. Lévy, “A framework based measurements for evaluating an IS quality,” Proceedings of the fifth on Asia-Pacific conference on conceptual modelling, Wollongong, NSW, Australia, January, 2008, pp.39-47.

[13]I. Heitlager, T.Kuipers, J.Visser, “A Practical Model for Measuring Maintainability - a preliminary report,” 6th International Conference on Quality of Information and Communications Technology (QUATIC), September, 2007, pp.30-39.

[14]R. Fitzpatrick and C. Higgins, “Usable Software and its Attributes:A synthesis of Software Quality European Community Law and Human-Computer Interaction”, Proceedings of the HCI'98 Conference, Springer, London, United Kingdom. 1998, pp.1-19.

[15]M. Bertoa and A. Vallecillo, “Usability metrics for software components,” Proceedings of Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE), Oslo, April, 2006, pp.136-143.

[16]L. Lin and H. M. Lee, “A Fuzzy Software Quality Assessment Model to Evaluate User Satisfaction,” Proceedings of the Second International Conference on Innovative Computing, Information and Control, Washington DC, USA, September, 2007, pp.438-442.

[17]B. Yang, L. Yao and H. Z. Huang, “Early Software Quality Prediction Based on a Fuzzy Neural Network Model,” Proceedings of the Second International Conference on Innovative Computing, Information and Control, Washington DC, USA, September, 2007, pp.760-764

[18]G. Buyukozkan, C. Kahramanand D. Ruan, “A fuzzy multi-criteria decision approach for software development strategy selection,” International Journal ofGeneral Systems, Vol.33, No.(2-3), 2004, pp.259-280.

[19]P. C. Fishburn, mUtility Theory for Decision Making, Wiley, New York, 1964.

[20]B. Roy, “Problems and Methods with Multiple Objective Functions, Math. Program,” Vol.1, 1971, pp.239-266.

[21]S. Kanhe, “A Contribution to Decision Making in Environmental Design,” Proceedings of the IEEE, Vol.63, Issue.3, 1975, pp.518-528.

[22]G. Klir and T. Folger, “Fuzzy Sets, Uncertainty and Information,” Prentice Hall, New Jersey, USA, 1988.

[23]S. M. Baas and H. Kwakernaak, “Rating and Ranking of Multiple - Aspect Alternatives Using Fuzzy Sets,”Automatica, Vol.13, No.1, 1977, pp.47-58.

[24]C. Carlssonand R. Fuller, “Fuzzy multiple criteria decision making: Recent developments,” Fuzzy Sets and Systems, Vol.78, 1996, pp.139-153.

[25]P. R. Srivastava, A. P. Singh, K.V. Vageesh, “Assessment of Software Quality: A Fuzzy Multi – Criteria Approach,” Evolution of Computation and Optimization Algorithms in Software Engineering: Applications and Techniques, IGI Global USA, 2010, chapter - 11, pp.200-219.

[26]P. B., Crosby, Quality is free : the art of making quality certain, New York : McGraw-Hill, 1979.

[27]W. E. Deming, , Out of the crisis : quality, productivity and competitive position, Cambridge Univ. Press, 1988.

[28]A. V. Feigenbaum, Total quality control, McGraw-Hill, 1983.

[29]Ishikawa, K., What is total quality control? : the Japanese way, Prentice-Hall, 1985.

[30]J. M. Juran, Juran's Quality Control Handbook, McGraw-Hill, 1988.

[31]B. W. Boehm, J. R. Brown and M. L. Lipow, - Quantitative Evaluation of Software Quality, Proceedings of the 2nd International Conference on Software Engineering, San Francisco, CA, USA, October,1976, pp.592-605.

[32]J. A. McCall, P. K. Richards, and G. F. Walters, Factors in Software Quality, 1977, Vol.I, II, and III, US Rome Air Development Center Reports - NTIS AD/A-049 014, NTIS AD/A-049 015 and NTIS AD/A-049 016, U. S. Department of Commerce.

[33]R. G. Dromey, - A model for software product quality, IEEE Transactions on Software Engineering, Vol.21, No.2, February, 1995, pp.146-162.