Empowering Software Engineering with Artificial Intelligence

AbstractThis paper describes an application of artificial intelligence to support software reuse. We begin by discussing the characteristics of software engineering that establish dynamic reorganization as a requirement for a repository of software artifacts. We then present an experimental system that uses incremental concept formation as the basis for dynamic reorganization, and the conceptual hierarchy that was generated by the system for a set of 67 artifacts. The hierarchy is compared to a hierarchy produced manually by independent investigators, and the automatic hierarchy is evaluated in terms of retrieval efficiency and retrieval reliability. The paper ends with a discussion of three projects that share similar objectives with our work.

Download Full-text

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

10.1007/978-3-540-70560-4 ◽

2008 ◽

Cited By ~ 2

Keyword(s):

Artificial Intelligence ◽

Software Engineering ◽

Distributed Computing

Download Full-text

Software Engineering and Artificial Intelligence

Series in Machine Perception and Artificial Intelligence - Computational Intelligence in Software Quality Assurance ◽

10.1142/9789812703477_0001 ◽

2005 ◽

pp. 1-45

Keyword(s):

Artificial Intelligence ◽

Software Engineering

Download Full-text

Modern Approaches to Software Engineering in the Compositional Era

Knowledge Engineering for Software Development Life Cycles ◽

10.4018/978-1-60960-509-4.ch001 ◽

2011 ◽

pp. 1-20

Author(s):

Ali Dogru ◽

Pinar Senkul ◽

Ozgur Kaya

Keyword(s):

Artificial Intelligence ◽

Software Engineering ◽

Software Development ◽

Fault Management ◽

Management Systems ◽

Rule Based ◽

Rule Based Approach ◽

Computational Element ◽

Do So

The amazing evolution fuelled by the introduction of the computational element has already changed our lives and continues to do so. Initially, the fast advancement in hardware partially enabled an appreciation for software potency. This meant that engineers had to have a better command over this field that was crucial in the solution of current and future problems and requirements. However, software development has been reported as not adequate, or mature enough. Intelligence can help closing this gap. This chapter introduces the historical and modern aspects of software engineering within the artificial intelligence perspective. Also an illustrative example is included that demonstrates a rule-based approach for the development of fault management systems.

Download Full-text

Modern Approaches to Software Engineering in the Compositional Era

Machine Learning ◽

10.4018/978-1-60960-818-7.ch803 ◽

2012 ◽

pp. 1903-1923

Author(s):

Ali Dogru ◽

Pinar Senkul ◽

Ozgur Kaya

Keyword(s):

Artificial Intelligence ◽

Software Engineering ◽

Software Development ◽

Fault Management ◽

Management Systems ◽

Rule Based ◽

Rule Based Approach ◽

Computational Element ◽

Do So

The amazing evolution fuelled by the introduction of the computational element has already changed our lives and continues to do so. Initially, the fast advancement in hardware partially enabled an appreciation for software potency. This meant that engineers had to have a better command over this field that was crucial in the solution of current and future problems and requirements. However, software development has been reported as not adequate, or mature enough. Intelligence can help closing this gap. This chapter introduces the historical and modern aspects of software engineering within the artificial intelligence perspective. Also an illustrative example is included that demonstrates a rule-based approach for the development of fault management systems.

Download Full-text