10. CONCLUSIONS
This paper summarizes the state of the art research work reported in the computing literature on software quality assurance during 2008 to 2013 particularly covering (i) quality models; (ii) timely QA feedback; (iii) quantitative approaches to predicting software quality and the effectiveness of software QA; (iv) optimal choice of QA methods; (v) design level QA; (vi) impact of parallel development options on software quality; (vii) continued QA efforts running into the operational life of the software product; and (viii) use of CASE tools and perceived value for QA at NASA JPL. A few reports on ongoing research are also summarized. Major trends observed in the above summary pertain to (i) continuing software QA efforts into the operational life of the software product, which may also be pertinent to the proliferation of mobile applications; (ii) presenting the current software quality status to all stakeholders through an optimal set of software metrics; and (iii) the effectiveness of hybrid approach of tool use combined with expert judgment for software QA. The emphasis on continued software QA activities spreading throughout the software product life cycle, from its beginning to end, is clearly observed from the reviewed literature.