Software engineering industry has been characterized by rapid innovation and intense competition. SE firms to survive must develop high quality software products on time and at low cost. a critical issue is whether high levels of quality software products can be achieved without adversely impacting cycle time and software engineers’ development effort. Conventional beliefs hold it that SE processes to improve software quality can be implemented only at the expense of longer cycle times with more considerable development effort. However, an alternative view is that software quality improvement, fast cycle time, and software developers’ effort reduction can simultaneously be attained by adopting particle swarm optimization approach for software processes through the understanding aging leader algorithm. The study empirically investigates the impact of aging l eader algorithm to SE process maturity, quality, cycle time, effort from the developers and SE product outcome by major IT firm and how the effects can be optimized through the particle swarm optimization approach.
Keywords : Software Engineering (SE) processes, Particle Swarm Optimization, Aging Leader Algorithm.