Software parts classification for agile and efficient product life cycle management

Authors

Pinky Deshwal¹ , Bhanu Prakash Ila2¹ , Naveen Mehata Kondamudi1¹ , Anmol Gaurav¹

1. Tata Consultancy Services, India

Conference / event

International Federation for Information Processing 19th International Conference, June 2022 (Grenoble, France)

Poster summary

The proliferation of software components and embedded systems in bundling of smart and innovative products and services has augmented the need of software classification in manufacturing context. Currently, the context of existing software classification standards is limited to information technology, networking, and mobile applications. To gain efficiency in product development through reusability and reduction in search and retrieval time for multi domain part structure development; software classification is imperative. This paper discusses the different classification and nomenclature systems available for software, its benefits in Product Lifecycle Management (PLM) and other business areas, as well as limitation of existing PLM applications . This paper explains a novel, and contextual framework for classification of software components to enable strategic cataloguing for improved traceability, reusability, and Bill of Materials (BOM) management.

Keywords

Software part, Software part classification, Classification framework, Software classification standards, Classification for ALM

Research areas

Electrical Engineering

References

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4. 4. ECLASS Homepage, https://www.eclass.eu/en/news/videos.html, last accessed 2022/04/04
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Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2023 Deshwal et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.