M. Kashif

Work place: Department of Medical Sciences, Uppsala University, Sweden

E-mail: sheikhmkashif@yahoo.com


Research Interests: Biology, Computational Biology, Computer systems and computational processes, Computational Learning Theory


M. Kashif completed his master degree in computer science from COMSATS Institute of Information Technology, Pakistan, and Ph.D. from Uppsala University, Sweden. His research interests are agile methodologies, computational biology, and bioinformatics.

Author Articles
Adaptive Framework to Manage Multiple Teams Using Agile Methodologies

By M. Rizwan Jameel Qureshi M. Kashif

DOI: https://doi.org/10.5815/ijmecs.2017.01.06, Pub. Date: 8 Jan. 2017

The increased demand of agile methods results in challenging and unique problems, one of which is the unsuitability of agile methods for software development companies, particularly those with multiple teams. Secondly, agile methods are silent regarding how to achieve long-term organizational goals within the umbrella of agile software engineering. Considering these software industry problems, a new contemporary learning-based adaptive framework is proposed in the domain of agile methods. The proposed framework will help software companies to achieve long-term organizational goals. It is anticipated that the proposed framework will increase employee satisfaction by improving their technical skills and interpersonal communication capabilities using contemporary learning and knowledge-sharing activities. A survey is conducted from multinational software companies to validate the proposed adaptive framework, and the results are notably supportive and encouraging.

[...] Read more.
Other Articles