Matching Corporate Software Engineers and Data Offerings - from Discovery to Recommendations

Martens B, Franke J (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022

Event location: Bangkok TH

ISBN: 9781665485104

DOI: 10.1109/JCSSE54890.2022.9836285

Abstract

Data plays an essential role in developing software, especially in large and complex projects. Data can be collected from different stages of the software life cycle and can form the basis for decision-making and thereby the success of projects. With increasingly automated and tool-supported development landscapes, the amount of data that is generated and accessible rises as well. Large corporate software projects, in addition to generating data also give rise to a high volume of offerings based on the data. These aim to increase the value generated by stakeholders like developers, requirement engineers, and testers. The offering land-scape brings new complexities and difficulties with it and needs to be managed, systematized, and brought to the correct person at the right time in order to create value. In this publication, models for abstracting and generalizing data offerings and data consumers are presented and their applicability is verified in a global corporate software environment. In addition, approaches for matching data offerings and consumers are presented. Our results show that offerings and consumers can be abstracted and matched using a recommender system.

Authors with CRIS profile

Benedikt Martens Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

How to cite

APA:

Martens, B., & Franke, J. (2022). Matching Corporate Software Engineers and Data Offerings - from Discovery to Recommendations. In 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022. Bangkok, TH: Institute of Electrical and Electronics Engineers Inc..

MLA:

Martens, Benedikt, and Jörg Franke. "Matching Corporate Software Engineers and Data Offerings - from Discovery to Recommendations." Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022, Bangkok Institute of Electrical and Electronics Engineers Inc., 2022.

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