research-article

Development of flexible software process lines with variability operations: a longitudinal case study

Authors:

Joachim Schramm,

Patrick Dohrmann,

Marco KuhrmannAuthors Info & Claims

EASE '15: Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering

Article No.: 13, Pages 1 - 10

https://doi.org/10.1145/2745802.2745814

Published: 27 April 2015 Publication History

Abstract

Context: Software processes evolve over time and several approaches were proposed to support the required flexibility. Yet, little is known whether these approaches sufficiently support the development of large software processes. A software process line helps to systematically develop and manage families of processes and, as part of this, variability operations provide means to modify and reuse pre-defined process assets. Objective: Our goal is to evaluate the feasibility of variability operations to support the development of flexible software process lines. Method: We conducted a longitudinal study in which we studied 5 variants of the V-Modell XT process line for 2 years. Results: Our results show the variability operation instrument feasible in practice. We analyzed 616 operation exemplars addressing various customization scenarios, and we found 87 different operation types contributed by 3 metamodel variants developed by different teams in different contexts. Conclusions: Although variability operations are only one instrument among others, our results suggest this instrument useful to implement variability in real-life software process lines.

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Cited By

Agh HGarcía FPiattini M(2022)A checklist for the evaluation of software process line approachesInformation and Software Technology10.1016/j.infsof.2022.106864146:COnline publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.infsof.2022.106864
Pazin MAllian AOliveiraJr E(2018)Empirical study on software process variability modelling with SMartySPEM and vSPEMIET Software10.1049/iet-sen.2017.006112:6(536-546)Online publication date: Dec-2018
https://doi.org/10.1049/iet-sen.2017.0061
Rojas Blum FSimmonds JBastarrica M(2018)The v-algorithm for discovering software process linesJournal of Software: Evolution and Process10.1002/smr.177828:9(783-799)Online publication date: 14-Dec-2018
https://dl.acm.org/doi/10.1002/smr.1778
Show More Cited By

Index Terms

Development of flexible software process lines with variability operations: a longitudinal case study
1. Software and its engineering
  1. Software creation and management
    1. Software development process management

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cover image ACM Other conferences

EASE '15: Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering

April 2015

305 pages

ISBN:9781450333504

DOI:10.1145/2745802

General Chair:
Jian Lv
Nanjing University, China
,
Program Chairs:
He (Jason) Zhang
Nanjing University, China
,
Muhammad Ali Babar
University of Adelaide, Australia

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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NJU: Nanjing University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 April 2015

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NJU

EASE '15: 19th International Conference on Evaluation and Assessment in Software Engineering

April 27 - 29, 2015

Nanjing, China

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EASE '15 Paper Acceptance Rate 20 of 65 submissions, 31%;

Overall Acceptance Rate 71 of 232 submissions, 31%

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Cited By

Agh HGarcía FPiattini M(2022)A checklist for the evaluation of software process line approachesInformation and Software Technology10.1016/j.infsof.2022.106864146:COnline publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.infsof.2022.106864
Pazin MAllian AOliveiraJr E(2018)Empirical study on software process variability modelling with SMartySPEM and vSPEMIET Software10.1049/iet-sen.2017.006112:6(536-546)Online publication date: Dec-2018
https://doi.org/10.1049/iet-sen.2017.0061
Rojas Blum FSimmonds JBastarrica M(2018)The v-algorithm for discovering software process linesJournal of Software: Evolution and Process10.1002/smr.177828:9(783-799)Online publication date: 14-Dec-2018
https://dl.acm.org/doi/10.1002/smr.1778
Blum FDillon LVisser WWilliams L(2016)Mining software process linesProceedings of the 38th International Conference on Software Engineering Companion10.1145/2889160.2889267(839-842)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2889160.2889267
Blum FSimmonds JBastarrica MPfahl DBendraou RTurner RKuhrmann MHebig RMaggi F(2015)Software process line discoveryProceedings of the 2015 International Conference on Software and System Process10.1145/2785592.2785605(127-136)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2785592.2785605

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