Abstract
In literature survey, we have seen that benchmarking exercise is necessary for an organization to remain competitive in the market. This helps an organization not only to remain competitive, but also to service its customers in an efficient manner. Thus, it becomes a requirement in the business to have such benchmarking. Through benchmarking, we can find the gap between best-in-class performance in the industry and the performance of the organization in study, analyse the reasons for such gap and take steps for improving performance. While carrying out benchmarking exercise, many focus areas can be selected. Some of the focus areas can be accounting practices, strategic alliances, billing practices being followed, productivity, etc. The focus area is decided based on the importance of benchmarking; this study is devoted to benchmarking productivity and quality of the end products. The study is conducted in the software industry and especially in software development projects.
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References
Baroudi WS (1985) A discipline for software engineering. Reading
Boehm B (1981) Software engineering economics (original COCOMO). Prentice-Hall, Englewood Cliffs
Case AF (Fall 1985) Computer-aided software engineering. Database 17(1):35–43
Chrysler E (1978) Some basic determinants of computer programming productivity. Communications ACM 21:472–483
Curtis B (1980) Measurement and experimentation in software engineering. Proceedings IEEE 1103–1119
Curtis B (1981) Substantiating programmer variability. Proc IEEE
Cusumano M, Kemerer CF (1990) A quantitative analysis of U.S. and Japanese practice and performance in software development. Manage Sci 36:1384–1406
Goldstein M, Rockart V (1984) The cleanroom approach to quality software development. Wiley Series in Software Engineering Practice
Holmes JS (2003) Optimizing the software life cycle. ASQ Software Quality Professional5.4, pp 14–23
Jalote P (2001) CMM in practice process for executing software projects at Infosys. Addidon-Wesley
Kriebel CH (1979) Evaluating the quality of information systems. In: Szyperski N, Grochla E (eds) Design and implementation of computer based information systems, Chapter 2. Sitjhoff & Noordhoff, The Netherlands, pp 29–43
Lambert GN (1984) A comparative study of systems response time on programmer development productivity. IBM Syst J 23:36–43
McGarry MC (1984) An empirical study of process discipline and software quality. Ph.D. discussion, University of Pittsburgh
Mcguire EG (2004) Factors affecting quality of software project management: an empirical study based on the Capability maturity Model. Software Qual J, Spronger Netherlands, ISSN 0963–9314
Mohanty SN (1981) Software cost estimation: present and future. Software Pract Exp 11:103–121
Mohapatra S, Mohanty B (2001) Achieving quality in software projects through requirement management—an experience based approach. IECON’01 Special Session on Software Engineering—IEEE
Mohapatra S, Mohanty B (2001) Distribution center management model—as an integral part of supply chain management. In: Second international workshop on conceptual modelling approaches for e-Business
Mohapatra S, Mohanty B (2003) Quantitative software quality management an experience report at Infosys. In: The 15th Brazilian symposium on software engineering—SBES
Mohapatra S, Mohanty B (2003) Return on investment through monitoring cost of quality at Infosys. WCRE
Mohapatra S, Bhashyam MR, Srinivas P (2000) Software process improvement, a case study at Infosys. In: Second annual international software testing conference, Indiana
Nance R (1992) Software quality indicators: an holistic approach to measurement. In: Proc. 4th Ann. Software Quality Workshop, Alexandria Bay, New York
Paulk MC (2006) Factors affecting personal software quality. J Defence Software Eng 19:9–13
Pressman RS (1996) Software engineering: a practitioner’s approach. McGraw-Hill Higher Education, Singapore
Scacchi W (1995) Understanding software productivity. Advances in Software Engineering and Knowledge engineering, pp 37–70
Thadhani AJ (1984) Factors affecting programmer productivity during application development. IBM Systems J. 19–35
Vosburg J, Curtis B, Wolverton R, Albert B, Malec H, Hoben S, Liu Y (1984) Productivity factors and programming environments. Proceedings 7th International Conference Software Engineering, IEEE Computer Society, pp 143–152
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Mohapatra, S. (2012). Research Objective, Hypotheses and Methodology. In: Information Theory and Best Practices in the IT Industry. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3043-8_3
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