Special Seminar: Ruchika Malhotra "Software Quality Predictive Modeling: Current Research & Future Avenues"

Department of Computer Science

Friday 6.4.2018 at 13:00 in 1171-72, Maarintie 8

Ruchika Malhotra

Title: Software Quality Predictive Modeling: Current Research & Future Avenues

Abstract:

Predictive modeling, in the context of software engineering relates to the construction of models for estimation of software quality attributes such as defect-proneness, maintainability and effort amongst others. For developing such models, software metrics act as predictor variables as they signify various design characteristics of a software such as coupling, cohesion, inheritance and polymorphism. A number of techniques such as statistical and machine learning are available for developing predictive models. Hence, conducting successful empirical studies, which effectively use these, techniques are important in order to develop models that are practical and useful. These developed models are useful to organizations in prioritization of constraint resources, effort allocation and developing an effective software quality product.

However, conducting effective empirical studies which develop successful predictive models is not possible if proper research methodology and steps are not followed. There is a need for the stepwise procedure for efficient application of various techniques to predictive modeling. A number of research issues which are important to be addressed while conducting empirical studies include data collection, validation method, use of statistical tests, use of an effective performance evaluator etc. The talk will provide current work and future directions in the field of software quality predictive modeling.