02489nam a2200181Ia 4500999001700000100001300017100006300030245009500093260001000188260000900198300000700207500182700214700004202041856003302083942001102116952009002127952009002217  c62685d62682  a11MSIT17  aImran Ali Memon a11MSIT17aSupervisor Dr. Rafia Naz Memon 2aA Taxonomy for Supporting Industry- Academia Communication in Software Quality (MS Thesis)  bQUEST  c2018  a41  aABSTRACT

Software quality is one of the essential aspects in software development. Software quality provides error free and reliable software and gets attention and satisfaction of the end users. Without implementing the software quality techniques, the chances of software failure increases. One of the major issues which arise in software qual ity is a gap between software quality research and practice. The gap is the variance between ho software qua lity research is conveyed and how software quality challenges are being ob erved in industries. The gap can be filled by introducing a taxonom . The proposed taxonomy is aimed to improve communication between research and practice in the area of software quality in industry-academia cooperation.
The proposed taxonomy is built through organized and target oriented approach with the help of direct and indirect comm unication. In indirect communication the data is gathered from literature review, biogs, and articles. In direct communication  the data is gathered through interviews and online survey from the researchers  and practitioners. A questionnaire is designed which contains  20  different  questions about team coordination, team dispersion, culture, team behavior, attitude, team experience and so on. After collecting relevant data,  a  taxonomy  is  proposed  in which industrial challenges are mapped with the solutions  provided  by  the researchers. In this regard multiple solutions are achieved; each problem can be resolved by more than one solution. The practitioners  have  evaluated •the taxonomy in their software firms and provided their positive feedbacks through a questionnaire. The proposed taxonomy can be utilized by both researchers and practitioners to overcome the gap between software quality research and practice.











  aDepartment of Information Technology   uhttps://tinyurl.com/2awujp4m  cTHESIS  00104070aRESEARCHbRESEARCHd2018-10-22l0pMP/37-397r2018-10-22 00:00:00yTHESIS  00104070aRESEARCHbRESEARCHd2019-02-27l0pMP/39-432r2019-02-27 00:00:00yTHESIS