A Classification of Variation Control Systems
Version control systems are an integral part of today's software and systems development processes. They facilitate the management of revisions (sequential versions) and variants (concurrent versions) of a system under development and enable collaboration between developers.
Revisions are commonly maintained either per file or for the whole system. Variants are supported via branching or forking mechanisms that conceptually clone the whole system under development.
It is known that such cloning practices come with disadvantages.
In fact, while short-lived branches for isolated development of new functionality (a.k.a. feature branches) are well supported, dealing with long-term and fine-grained system variants currently requires employing additional mechanisms, such as preprocessors, build systems or custom configuration tools.
Interestingly, the literature describes a number of variation control systems, which provide a richer set of capabilities for handling fine-grained system variants compared to the version control systems widely used today.
In this paper we present a classification and comparison of selected variation control systems to get an understanding of their capabilities and the advantages they can offer. We discuss problems of variation control systems, which may explain their comparably low popularity. We also propose research activities we regard as important to change this situation.
this URL might only work when visiting from a http://www.sigplan.org/ URL.
Mon 23 OctDisplayed time zone: Tijuana, Baja California change
13:30 - 15:00
|A Classification of Variation Control Systems|
Lukas Linsbauer Johannes Kepler University Linz, Thorsten Berger Chalmers University of Technology, Sweden / University of Gothenburg, Sweden, Paul Grünbacher JKU Linz, AustriaDOI Authorizer link
|Analyzing the Impact of Natural Language Processing over Feature Location in Models|
Raúl Lapeña San Jorge University, Spain, Jaime Font San Jorge University, Spain, Oscar Pastor Universitat Politècnica de València, Spain, Carlos Cetina San Jorge University, SpainDOI Authorizer link
|How Preprocessor Annotations (Do Not) Affect Maintainability: A Case Study on Change-PronenessBest Paper|
Wolfram Fenske University of Magdeburg, Germany, Sandro Schulze University of Magdeburg, Germany, Gunter Saake University of Magdeburg, GermanyDOI Authorizer link