Artificial Intelligence In Software Engineering

2017 ◽  
Author(s):  
Narendra Rao Tadapaneni
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering

A dynamic memory of software designs

1994 ◽  
Vol 8 (2) ◽  
pp. 163-176 ◽  
Author(s):  
Scott Henderson ◽  
Sidney C. Bailin
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Software Reuse ◽  
Concept Formation ◽  
Experimental System ◽  
Dynamic Memory ◽  
Software Artifacts ◽  
Retrieval Efficiency ◽  
Conceptual Hierarchy ◽  
Support Software

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.

Modern Approaches to Software Engineering in the Compositional Era

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.

Modern Approaches to Software Engineering in the Compositional Era

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.

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