Quality measurement in agile and rapid software development: a systematic mapping [Dataset]

López Cuesta, Lidia; Burgués Illa, Xavier; Martínez Fernández, Silverio Juan; Vollmer, Anna Maria; Behutiye, Woubshet; Karhapää, Pertti; Franch Gutiérrez, Javier; Rodriguez, Pilar; Oivo, Markku

doi:10.5821/data-2117-335910-1

View/Open

Measurement_in_ARSD_SMS_Data_v2[1].xlsx (477,9Kb)

Metrics_in_ARSD[1].pdf (102,2Kb)

readme[1].txt (3,914Kb)

View UPCommons Usage Statistics

LA Referencia / Recolecta stats

Cita com:

Show full item record

Chair / Department / Institute

Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació

Fraunhofer Institute for Experimental Software Engineering

University of Oulu

Universidad Politécnica de Madrid

Document typeDataset

Defense date2020-01

PublisherUniversitat Politècnica de Catalunya

Version1

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

ProjectQ-RAPIDS - Quality-Aware Rapid Software Development (EC-H2020-732253)

Abstract

This dataset has been used to generate part of the results included in the manuscript: “Quality Measurement in Agile and Rapid Software Development: A Systematic Mapping”, submitted to the Information and Software Technology journal (IST) at the time of publishing this dataset. The paper reports the results of a systematic mapping study surveying the literature related to quality requirements management through metrics in agile and rapid software development processes. The dataset contains the data extracted from the primary studies that was used in the analysis phase of the study and reported in the results section of the paper. The data extracted from the primary studies has been complemented with some data used for specific purposes, e.g. during the analysis phase, we included the list of companies collaborating in the paper analysing the authors’ affiliations to understand the level of implication of companies in the field. Complementing the data analysed, the dataset includes some detailed results that are not included in the body of the paper, i.e., the list of metrics reported in the selected primary studies.

Description

The dataset contains the following files: (1) readme.txt, it is a text file including details about the content of the dataset; (2) Measurement in ARSD_SMS_Data.xls, it is a MS Excel file containing the data used in the analysis of the primary studies, reported in Section 4 of the paper; and, (3) Metrics in ARSD.pdf, it is pdf file containing the complete list of metrics reported in the different primary studies. The metrics are classified into the following categories: QR metrics, QMIs, and QMI metrics. In the MS Excel file, the data is organised in separated sheets: (a) RQ1 - Literature characterisation; (b) RQ2 - QR Metrics, where QR refers to Quality Requirements; (c) RQ3 - QMI, where QMI refers to Quality Management Indicators; (d) RQ3 - Tools, corresponding to the reported tools used to manage QMIs; and, (e) RQ3 - QMI Metrics.

Temporal coverage2001-2019

CitationLópez Cuesta, L. [et al.]. (2020). Quality measurement in agile and rapid software development: a systematic mapping [Dataset]. 1 v. Universitat Politècnica de Catalunya. https://doi.org/10.5821/data-2117-335910-1

URIhttp://hdl.handle.net/2117/335910

DOI10.5821/data-2117-335910-1

Collections

View UPCommons Usage Statistics

Show full item record

Files	Size	Format	View
Measurement_in_ARSD_SMS_Data_v2[1].xlsx	477,9Kb	Microsoft Excel 2007	View/Open
Metrics_in_ARSD[1].pdf	102,2Kb	PDF	View/Open
readme[1].txt	3,914Kb	Text file	View/Open

UPCommons. Global access to UPC knowledge

Quality measurement in agile and rapid software development: a systematic mapping [Dataset]

View/Open

Browse