Faculty Publications

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Publications by NITK Faculty

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Author: search.filters.author.Shet, K.C.Subject: search.filters.subject.Software development

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    Analyzing design patterns for extensibility
    (2011) Annappa, B.; Rajendran, R.; Chandrasekaran, K.; Shet, K.C.
    A system is said to be extensible, if any changes can be made to any of the existing system functionalities and/or addition of new functionalities with minimum impact. To achieve extensibility, it has to be planned properly starting from the initial stage of the application development. Keeping in mind all the possible future changes to be made, the designer should select the proper design patterns and finish the design for the application. Once the application design is finished, it should be analyzed to make sure that the application is extensible. © Springer-Verlag Berlin Heidelberg 2011.
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    Empirical validation of software development effort multipliers of intermediate COCOMO model
    (2008) Basavaraj, M.J.; Shet, K.C.
    Intermediate COCOMO Model computes effort as a function of program size and a set of cost drivers. Effort adjustment factor (EAF) is calculated using 15 cost drivers. EAF is an important significant factor in computing software development effort. We have taken one delivered development project of size of 479 function points and planned for 917 Person days of SEI CMM Level 5 "Excellent" Company as a case study to analyze the EAF. We have empirically validated the cost driver model for Intermediate COCOMMO using this projects data. Validation has been done by using other two development projects data of Excellent Company. From our analysis, we have found that cost drivers defined ratings need to be revisited for the projects of size less than 10 Person months. We have come out with ratings for some cost drivers where earlier it was not defined. This approach helps the project managers to anticipate and estimate the efforts for development projects preferably less than 10 Person months. We have achieved approximately 30% improvement in effort variance by following this approach. © 2008 Academy Publisher.