An experimental evaluation of the importance of randomness in hill climbing searches applied to software engineering problems

2014 ◽  
Vol 19 (5) ◽  
pp. 1423-1465 ◽  
Author(s):  
Márcio de O. Barros
2011 ◽  
Vol 403-408 ◽  
pp. 2127-2130
Author(s):  
Chun Yan Liu ◽  
Zhu Lin Liu

With the computer software and technology continuously improving, because of various factors influencing, computer engineers are very tough on how to improve the quality of software products, this is a bottleneck problem we must solve. We think that the information engineering combining with the philosophy thought would make engineer’s ideas suddenly enlightened. We find a method and model to solve software engineering problems from the philosophical Angle, and put forward the importance of information philosophy in the study of information engineering by standing at this altitude of the information engineering. As a new field, information philosophy provides a unified, convergence theory frame, it can satisfy the requirement of further specialized. Information philosophy will become most exciting and productive philosophy research field in our era's.


2013 ◽  
Vol 671-674 ◽  
pp. 3208-3211
Author(s):  
Yong Hong Gao

A wide range of important software engineering problems need solutions that involve accurately predicting outcomes, such as the number of defects in a module, the estimated cost, or deciding the best software development process to use. Mathematically a classifier is a function that maps an N-dimensional attribute space to a discrete set of labels of the class variable. We proposed an effective classifier for software engineering data sets, the results show that the accurate predictions can have an enormous positive impact on reducing these problems and ensure projects’ successes.


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