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Software parts classification for agile and efficient product life cycle management

PUBLISHED April 28, 2023 (DOI: https://doi.org/10.54985/peeref.2304p5417007)



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.


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

Research areas

Electrical Engineering


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  3. 3. GS1 Homepage, https://www.gs1.org/sites/default/files/docs/healthcare/product_classification_in_healthcare_april_2015.pdf, last accessed 2022/04/05.
  4. 4. ECLASS Homepage, https://www.eclass.eu/en/news/videos.html, last accessed 2022/04/04
  5. 5. UNSPC Homepage, https://unece.org/fileadmin/DAM/trade/agr/meetings/ge.11/2005/2005_i04_UNSPSC.pdf, last accessed 2022/04/04
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Supplemental files

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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.
Deshwal, P., Prakash Ila2, B., Mehata Kondamudi1, N., Gaurav, A. Software parts classification for agile and efficient product life cycle management [not peer reviewed]. Peeref 2023 (poster).
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