With the increasing size and complexity of software systems also the amount of software variability grows. In this paper we present decision models as a means of dealing with software variability and views on decision models that are supposed to make the large amount of variability manageable. Also some mechanisms for supporting the process of decision modelling and resolving decision models are introduced. In a final experiment we evaluate the presented views and process support mechanisms
The society expects software to deliver the right functionality, in a short amount of time and with ...
Decision support systems (DSS) play an important role in supporting scheduling tasks in industrial s...
During recent years, the amount of variability that has to be supported by a software artefact is gr...
With the increasing size and complexity of software systems also the amount of software variability ...
Due to today's software (dependent) society the amount of software systems as well as their size and...
In today’s Software Product Line practice, variability models (often known as feature models) can be...
Modern process-aware information systems heavily rely on decision knowledge for the development, exe...
AbstractVariability management in software systems requires adequate tool support to cope with the e...
\With current trends towards moving variability from hardware to software, and given the...
Lessons learned in earlier work, and results of several studies let us assume that anything that a f...
International audienceTo succeed with the development of modern software, organizations must have th...
The model-driven elaboration, validation, and documentation of system requirements and designs calls...
Abstract: Variability management in software intensive systems can be a complex and cognitively chal...
Whenever a software engineer derives a product from a product line, he has to resolve variability by...
International audienceThis paper presents a tool-suite to model variability of a Software Product Li...
The society expects software to deliver the right functionality, in a short amount of time and with ...
Decision support systems (DSS) play an important role in supporting scheduling tasks in industrial s...
During recent years, the amount of variability that has to be supported by a software artefact is gr...
With the increasing size and complexity of software systems also the amount of software variability ...
Due to today's software (dependent) society the amount of software systems as well as their size and...
In today’s Software Product Line practice, variability models (often known as feature models) can be...
Modern process-aware information systems heavily rely on decision knowledge for the development, exe...
AbstractVariability management in software systems requires adequate tool support to cope with the e...
\With current trends towards moving variability from hardware to software, and given the...
Lessons learned in earlier work, and results of several studies let us assume that anything that a f...
International audienceTo succeed with the development of modern software, organizations must have th...
The model-driven elaboration, validation, and documentation of system requirements and designs calls...
Abstract: Variability management in software intensive systems can be a complex and cognitively chal...
Whenever a software engineer derives a product from a product line, he has to resolve variability by...
International audienceThis paper presents a tool-suite to model variability of a Software Product Li...
The society expects software to deliver the right functionality, in a short amount of time and with ...
Decision support systems (DSS) play an important role in supporting scheduling tasks in industrial s...
During recent years, the amount of variability that has to be supported by a software artefact is gr...