On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring

Author(s):  
Boukhdhir Amal ◽  
Marouane Kessentini ◽  
Slim Bechikh ◽  
Josselin Dea ◽  
Lamjed Ben Said
Author(s):  
Saleema Amershi ◽  
Andrew Begel ◽  
Christian Bird ◽  
Robert DeLine ◽  
Harald Gall ◽  
...  

2021 ◽  
Author(s):  
Nafiseh Jafari ◽  
Mohammad Reza Besharati ◽  
Maryam Hourali

One of the pillars of any machine learning model is its concepts. Using software engineering, we can engineer these concepts and then develop and expand them. In this article, we present a SELM framework for Software Engineering of machine Learning Models. We then evaluate this framework through a case study. Using the SELM framework, we can improve a machine learning process efficiency and provide more accuracy in learning with less processing hardware resources and a smaller training dataset. This issue highlights the importance of an interdisciplinary approach to machine learning. Therefore, in this article, we have provided interdisciplinary teams’ proposals for machine learning.


2015 ◽  
Vol 21 (6) ◽  
pp. 2503-2545 ◽  
Author(s):  
Mohamed Wiem Mkaouer ◽  
Marouane Kessentini ◽  
Slim Bechikh ◽  
Mel Ó Cinnéide ◽  
Kalyanmoy Deb

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