Empirically Derived Use Cases for Software Analytics

[Background] Software engineering activities provide large volumes of data that software analytics tools can use to support decision-making. However, adopting such tools depends on the usefulness of the information provided regarding the needs of practitioners. While the needs of developers have bee...

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Bibliographic Details
Published in2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) pp. 1 - 6
Main Authors Rique, Thiago, Dantas, Emanuel, Perkusich, Mirko, Gorgonio, Kyller, Almeida, Hyggo, Perkusich, Angelo
Format Conference Proceeding
LanguageEnglish
Published University of Split, FESB 22.09.2022
Subjects
Case Study
Decision making
Encoding
Grounded Theory
Knowledge management
Organizations
Project management
Software
Software Analytics
Software Engineering
Software Measurement
Technological innovation
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Summary:[Background] Software engineering activities provide large volumes of data that software analytics tools can use to support decision-making. However, adopting such tools depends on the usefulness of the information provided regarding the needs of practitioners. While the needs of developers have been well-researched, the needs of managers are not getting as much attention. [Aims] This study provides an in-depth analysis of the needs of software practitioners involved in managerial decision-making from one organization that performs research, development, and innovation projects with industry partners. [Method] We identified and represented such needs as use cases by interviewing people in leadership positions and analyzing the collected data using Grounded Theory coding techniques, i.e., open and selective coding. [Results] Our analysis resulted in 19 software analytics use cases which we classified into four dimensions: quality, people, project management, and knowledge management. The use cases in the quality and project management dimensions were the most mentioned ones. [Conclusions] Although our results are particularly relevant to organizations similar to the one described herein, they aim to serve as input for implementing new analytics solutions by practitioners and researchers.
ISSN:1847-358X