A Software Tools Catalogue to Support the Statistical Process Control on the Software Context

Aluízio Neto, Sandro Oliveira

2019

Abstract

Statistical Process Control (SPC) is applied to the software context in process analysis and improvement in high level maturity organizations. There are some studies that talk about the SPC in the context of software, however, these do not yet describe in depth the approaches related to it. The main goal of this study is to present the results of a Systematic Review of Literature, aiming to identify the SPC-related approaches (in this work, approaches are understood as techniques, frameworks, methods and tools to support the implementation of a process), which were put together in the form of a catalog. In this study, only the tools that implement the SPC will be presented, describing its characteristics, example of use, availability and ownership. With this study researchers will obtain valuable information for the possible future application of these tools in their development contexts.

Paper Citation

in Harvard Style

Neto A. and Oliveira S. (2019). A Software Tools Catalogue to Support the Statistical Process Control on the Software Context.In Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-375-9, pages 510-517. DOI: 10.5220/0007759505100517

in Bibtex Style

@conference{enase19,
author={Aluízio Neto and Sandro Oliveira},
title={A Software Tools Catalogue to Support the Statistical Process Control on the Software Context},
booktitle={Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2019},
pages={510-517},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007759505100517},
isbn={978-989-758-375-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - A Software Tools Catalogue to Support the Statistical Process Control on the Software Context
SN - 978-989-758-375-9
AU - Neto A.
AU - Oliveira S.
PY - 2019
SP - 510
EP - 517
DO - 10.5220/0007759505100517