The role of Artificial Intelligence in Software Engineering

Abstract

Abstract-There has been a recent surge in interest in the application of Artificial Intelligence (AI) techniques to Software Engineering (SE) problems. The work is typified by recent advances in Search Based Software Engineering, but also by long established work in Probabilistic reasoning and machine learning for Software Engineering. This paper explores some of the relationships between these strands of closely related work, arguing that they have much in common and sets out some future challenges in the area of AI for SE.

Modern software cybernetics: New trends

“…This field of research, in which computational search is applied to solve problems in software engineering is referred to as Search Based Software Engineering (SBSE). There have been several important surveys in this widely studied general area (Harman & Jones, 2001;Harman, 2006;Harman, 2012a;Harman et al, 2012b;Harman et al, 2013;Sayyad & Ammar, 2013). While there is a body of work proposing SBSE to support software cybernetic, these are out-of-scope for the present survey.…”

Proqram mühəndisliyində süni intellekt problemləri

“…Bu baxımdan PM-də istifadə olunan SĠ metodlarını aĢağıdakı üç istiqamətə ayırmaq olar [18]: 1) axratıĢa əsaslanan proqram təminatı kimi tanınan axtarıĢ və optimallaĢdırma metodları;…”

Dynamic adaptive Search Based Software Engineering needs fast approximate metrics (keynote)

“…There have been several surveys on of SBSE, each focussing on different aspects such as requirements [29], predictive modelling [40], SBSE for the cloud [41], machine learning and AI [42], design [26] and testing [43], [44], [45], [46]. Other recent surveys on mutation testing [47] and regression testing [48] contain sections describing the use of SBSE to attack the problems in these domains.…”