Abstract-The designing, development of a software product needs lot of efforts whereas software testing is also a very challenging task but it is equally mandatory activity in order to ensure the quality of the product before shipping to customer. When it comes to the Agile model under which software builds are developed very frequently and development goes on a very high pace, software testing becomes more important and critical. Organizations following the agile methodology, encounter number of problems in formulating a software testing process unless they come up with a systematic testing approach based on right testing technique at a proper stage of the agile process. This paper addresses the relevant software testing techniques feasible at different stages of the agile process and proposes a dedicated software testing framework producing quality software products developed under agile methodology.
An increasing trend has been observed in natural disasters entailing in significant human and infrastructural damage. This highlights the need of improvised Humanitarian Supply Chain (HSC) operations for effective response in disastrous events demanding resourceful preparation. Different challenges are faced in coordinating relief activities due to heterogeneous profiles and versatile experience of volunteers offering services for relief operation. Moreover, prioritization of HSC activities with respect to disaster damages is another concern for organizations. Lastly, while carrying out a relief operations in certain calamities, HSC task recommendation to volunteers is also a significant problem. In this paper, an optimized volunteer-task recommender has been proposed based on Systems Dynamics (SD) approach that improves productivity of teams participating in relief operations. A number of parameters have been considered by recommender to assess the expertise of workforce such as: shortlisting of volunteers based on evaluation of their reputation, experience level, skills, availability of volunteers etc. The results are promising enough with optimized task recommendations to resources in effective disaster management with potential for application in real time situations.
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