Abstract

Software development practices have evolved, and new approaches have emerged, like Global Software Development (GSD). In addition, software development companies started to adopt data-driven practices in parts of their business. However, using and sharing software process data in a distributed and heterogeneous environment, like the GSD context, could be a challenging topic for many software engineers. In this paper, we present a proposal for sharing software process provenance data using a model that extends PROV, the PROV- SwProcess model. An example of applying this model using a process from the industry that deals with error handling and the implementation of new features in an Enterprise Resource Planning system is presented and explains how the model allows sharing software process provenance data, in addition to providing inferences and insights about these data.

Highlights

  • In recent years, software development practices have evolved, bringing new ways to develop software [JANSEN, 2020]

  • The main goal of this paper is to present a proposal for sharing software process provenance data in heterogeneous environments, such as the Global Software Development (GSD) context, using a model that extends PROV [GROTH and MOREAU, 2013], the W3C recommended standard

  • It is important to emphasize that “Software engineering process data is a valuable source of information regarding the history and evolution of a software project” [BACHMANN and BERNSTEIN, 2009] and “Effective management planning, decision-making, and learning processes rely on a spectrum of data, information, and knowledge to be successful” [BASILI et al, 2007]

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Summary

Introduction

Software development practices have evolved, bringing new ways to develop software [JANSEN, 2020]. The main goal of this paper is to present a proposal for sharing software process provenance data in heterogeneous environments, such as the GSD context, using a model that extends PROV [GROTH and MOREAU, 2013], the W3C recommended standard.

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