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Research Article

Comparative Study On Multidimensional Developers Performance With Cognitive Load


Author(s): K.Banu , N.Rama
Affiliation: Research Scholar, Mother Teresa Women’s University, Kodaikanal, Tamilnadu
Year of Publication: 2013
Source: International Journal of Computing Algorithm
     
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Citation: K.Banu, N.Rama. "Comparative Study On Multidimensional Developers Performance With Cognitive Load." International Journal of Computing Algorithm 2.1 (2013): 19-21.

Abstract:
Human resource is the challenging resource in the software development industry to meet the customer requirement and deliver the project on time to the client. The resource management techniques are used to optimize the resources with a homogeneous property. The multi-disciplinary and multi-demanded resource allocation is one among the challenging task to perform software development and deliveries cycle. The software industry requires multi-skill and dynamic performers. The skills domain knowledge and the developer’s performance are considered as the potential key factors for the success of the delivery of projects. The developer’s performance is influenced with cognitive factors and its measures.


Keywords homogeneous,cognitive load,software


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@article{Com1395112, author = {K.Banu,N.Rama}, title = {Comparative Study On Multidimensional Developers Performance With Cognitive Load}, journal={International Journal of Computing Algorithm}, volume={2}, issue={1}, issn = {2278-2397}, year = {2013}, publisher = {Scholarly Citation Index Analytics-SCIA}

  • [1] P.N. Robillard, P. d’Astous, F. Detienne, W. Visser, Measuring cognitive activities in software engineering,in: Proceedings of the 20th International Conference on Software Engineering, Kyoto, Japan, 19–25 April 1998,pp. 292–300.
  • [2] Curtis, B., "Cognitive issues in reusing software artifacts". In Software Reusability. Concepts and Models, T.J. Biggerstaff and A.J. Perlis, Editors. ACM Addison Wesley Publishing Company:New York, New York. 1989, p. 269-287.
  • [3] Waters, R.C. and Y.M. Tan, "Toward a design apprentice: Supporting reuse and evolution in software design", ACM Software Engineering Notes 162, 1991: p. 33-44.
  • [4] Beyers, J.C., Bittner, Jr, A. and Hills, S.G. Traditional and raw task load index TLX correlations: are paired comparisons necessary. Advances in Industrial Ergonomics and Safety I. London: Taylor and Francis, 1989.
  • [5] Hart, S. G., & Staveland, L. E. 1988. Development of a multi-dimensional workload rating scale: Results of empirical and theoretical research. NASA
  • [6] Hitt II, J.M., Kring, J.P., Daskarolis, E., Morris, C., & Mouloua, M. 1999. Assessing mental workload with subjective measures: An analytical review of the NASA-TLX index
  • [7] Wierwille, W.W. & Eggemeier, F.T. 1993. Recommendation for mental workload measurement in a test and evaluation environment. Human Factors, 35, 263-281.
  • [8] NASA Task Load Index, 2001 Hart and Staveland’s NASA Task Load Index TLX method.
  • [9] Heerlen Juhani E. Tuovinen 2001 Cognitive Load Measurement as a Means to Advance Cognitive Load Theory Fred Paas Educational Technology Expertise Center Open University of The Netherlands.

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