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Intelligent Software Engineering: The Significance of Artificial Intelligence Techniques in Enhancing Software Development Lifecycle Processes

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Intelligent Systems Design and Applications (ISDA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 418))

Abstract

In every sphere of technology nowadays, the world has been moving away from manual procedures towards more intelligent systems that minimize human error and intervention, and software engineering is no exception. This paper is a study on the amalgamation of artificial intelligence with software engineering. Software Development Lifecycle is the foundation of this paper, and each phase of it – Requirements Engineering, Design and Architecture, Development and Implementation, and Testing – serves as a building block. This work elucidates the various techniques of intelligent computing that have been applied to these stages of software engineering, as well as the scope for some of these techniques to solve existing challenges and optimize SDLC processes. This paper demonstrates in-depth, comprehensive research into the current state, advantages, limitations and future scope of artificial intelligence in the domain of software engineering. It is significant for its contributions to the field of intelligent software engineering by providing industry-oriented, practical applications of techniques like natural language processing, meta programming, automated data structuring, self-healing testing etc. This paper expounds upon some open issues and inadequacies of software engineering tools today, and proposes ways in which intelligent applications could present solutions to these challenges.

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Author information

Authors and Affiliations

  1. Pune, India

    Vaishnavi Kulkarni & Jay Kulkarni

  2. Akola, India

    Anurag Kolhe

Authors
  1. Vaishnavi Kulkarni
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  2. Anurag Kolhe
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  3. Jay Kulkarni
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  3. Institut für Wirtschaftsinformatik, Fachhochschule Nordwestschweiz, Olten, Switzerland

    Thomas Hanne

  4. Department of Computer Science and information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  5. Federal University of Bahia, Ondina, Brazil

    Tatiane Nogueira Rios

  6. Nantong University, Nantong Shi, Jiangsu, China

    Weiping Ding

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Kulkarni, V., Kolhe, A., Kulkarni, J. (2022). Intelligent Software Engineering: The Significance of Artificial Intelligence Techniques in Enhancing Software Development Lifecycle Processes. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_7

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