Abstract
Application Package Software (APS) is a collection of software programs developed for the purpose of being licensed to third-party organizations. Examples of APS include accounting systems, human resources software, and enterprise resource planning (ERP) software. With the advancement in Information technology, Component Based Software Engineering (CBSE) has emerged for rapid assembly of flexible modular software systems. It promotes software re-use for large software systems by purchasing components in the form of commercial-off the shelf components from the vendor. If the required component is not available in the market, then it has to be developed in-house. This decision of whether to buy the component or build from the scratch is known as build-or-buy decision. Through this paper, we shall discuss a framework that will help the developer to decide whether to buy or to build software components while designing a fault-tolerant modular software system. This paper proposes optimization models for optimal component selection for a fault-tolerant modular software system under the Recovery Block Scheme (RBS).
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References
Onut, S., Efendigil, T.: A theoretical model design for ERP software selection process under the constraints of cost and quality: A fuzzy approach. Journal of Intelligence & Fuzzy Systems 21, 365–378 (2010)
Cortellessa, V., Marinelli, F., Potena, P.: An optimization framework for “build-or-buy” decisions in software architecture. Computers and Operations Research, Elsevier Science, 35-10, 3090–3106 (2008)
Jung, H.W., Choi, B.: Optimization models for quality and cost of modular software system. European Journal of Operations Research 112, 613–619 (1998)
Jung, H.W.: Optimizing value and cost in requirement analysis. IEEE Software, 74–78 (1998)
Jadhav, A.S., Sonar, R.M.: Framework for evaluation and selection of the software packages: A hybrid knowledge based system approach. The Journal of Systems and Software 84, 1394–1407 (2011)
Laprie, J.-C., Arlat, J., Beounes, C., Kanoun, K.: Definition and analysis of hardware- and software-fault-tolerant architectures. Computer, 39-51 (1990)
Scott, R.K., Gault, J.W., McAllister, D.F., Wiggs, J.: Experimental validation of six fault-tolerant software reliability models. IEEE Fault Tolerant Comput. Syst. 14, 102–107 (1984)
Scott, R.K., Gault, J.W., McAllister, D.F.: The consensus recovery block. In: Proc. Total Systems Reliability Symp., pp. 74–85 (1983)
Scott, R.K., Gault, J.W., McAllister, D.F.: Modeling fault tolerant software reliability. In: Proc. Third Symp. Reliability in Distributed Software and Database Systems, pp. 15–27 (1983)
Scott, R.K., Gault, J.W., McAllister, D.F.: Faulttolerant software reliability modeling. IEEE Trans. Soft. Eng. 13(5), 582–592 (1987)
Tang, J.F., Mu, L.F., Kwong, C.K., Luo, X.G.: An optimization model for software component selection under multiple applications development. European Journal of Operational Research 212, 301–311 (2011)
Bellman, R.E., Zadeh, L.A.: Decision making in a fuzzy environment. Manag. Sci. 17, 141–164 (1970)
Schrage, L.: Optimization Modeling with LINDO. Duxbury Press, CA (1997)
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Jha, P.C., Kaur, R., Bali, S., Madan, S. (2013). Optimal Build-or-Buy Decision for Component Selection of Application Package Software. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8298. Springer, Cham. https://doi.org/10.1007/978-3-319-03756-1_49
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DOI: https://doi.org/10.1007/978-3-319-03756-1_49
Publisher Name: Springer, Cham
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