Aspect-oriented programming (AOP) promises to improve many facets of software quality by providing better modularization and separation of concerns, which may have system wide affect.
A better strategy is to determine the best, possibly non-linear, subset of many software metrics for accurately estimating software quality.
Critics of software patents would say the low ranking points to the poor quality of many software patents, patenting the obvious rather than genuine inventions.
Depending upon the nature of the system, many approaches have been proposed to improve software quality control processes which improve standard software development and are important in scientific software quality assurance and improvement.
Software quality is complex with over investment, under investment and the interplay between aspects often being overlooked as many researchers aim to advance individual aspects of software quality.
Many software tools exist for the generation of run quality statistics and FastQC is possibly the most notable example.
They describe solutions for addressing specific quality concerns, and are prevalent across many software systems.
According to Lehman et al. (1997), many software systems need to be constantly changed to remain useful, and the quality of such systems will be perceived as declining unless they are rigorously maintained.
There are many claimed advantages for the use of design patterns and their impact on software quality.
PSO has been employed in many applications such as control problem of optimization, various subfields of data mining, network design, geotechnical engineering, and software quality.
