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Towards Architect’s Activity Detection through a Common Model for Project Pattern Analysis
- Software development projects leave a large amount of data in repositories of Application Lifecycle Management (ALM) tools. These data contain detailed histories of their respective projects, their results and decisions made along the way. Analysis of such data helps uncover various interesting facts about projects, e.g. their socio-technical structures and the actual (vs. purported) roles of team members. Based on experiences with tools supporting our research we are convinced that it is feasible to consolidate data from different ALM tools, tapping into the situation common in real-life projects. In this paper we report on our work towards a shared common data model and tool integration aimed at improved project analysis. We discuss how this can help in the identification of architects in the project organizational structures, their activity patterns and collaboration with other team roles.
Author: | Petr Picha, Premek Brada, Ralf Ramsauer, Wolfgang MauererORCiDGND |
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DOI: | https://doi.org/10.1109/ICSAW.2017.46 |
Parent Title (English): | First International Workshop on the Social and Organization Dimensions of Software, 5-7 April 2017, Gothenburg, Sweden |
Publisher: | IEEE |
Document Type: | conference proceeding (article) |
Language: | English |
Year of first Publication: | 2017 |
Release Date: | 2022/05/09 |
Tag: | Data Models; Software Architecture; data analysis; project management; software tools; team working |
First Page: | 175 |
Last Page: | 178 |
Institutes: | Fakultät Informatik und Mathematik |
Fakultät Informatik und Mathematik / Labor für Digitalisierung (LFD) | |
Begutachtungsstatus: | peer-reviewed |
research focus: | Digitalisierung |
Licence (German): | Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG |