Open source software ecosystems: A Systematic mapping
Context: Open source software (OSS) and software ecosystems (SECOs) are two
consolidated research areas in software engineering. OSS influences the way organizations …
consolidated research areas in software engineering. OSS influences the way organizations …
A literature review on the effectiveness and efficiency of business modeling
Background: Achieving and maintaining a strategic competitive advantage through business
and technology innovation via continually improving effectiveness and efficiency of the …
and technology innovation via continually improving effectiveness and efficiency of the …
Revisiting software ecosystems research: A longitudinal literature study
K Manikas - Journal of Systems and Software, 2016 - Elsevier
Abstract 'Software ecosystems' is argued to first appear as a concept more than 10 years
ago and software ecosystem research started to take off in 2010. We conduct a systematic …
ago and software ecosystem research started to take off in 2010. We conduct a systematic …
The state of adoption and the challenges of systematic variability management in industry
Handling large-scale software variability is still a challenge for many organizations. After
decades of research on variability management concepts, many industrial organizations …
decades of research on variability management concepts, many industrial organizations …
Principles of feature modeling
D Nešić, J Krüger, Ș Stănciulescu… - … of the 2019 27th ACM joint …, 2019 - dl.acm.org
Feature models are arguably one of the most intuitive and successful notations for modeling
the features of a variant-rich software system. Feature models help developers to keep an …
the features of a variant-rich software system. Feature models help developers to keep an …
Empirical analysis of the tool support for software product lines
For the last ten years, software product line (SPL) tool developers have been facing the
implementation of different variability requirements and the support of SPL engineering …
implementation of different variability requirements and the support of SPL engineering …
Software variability in service robotics
Robots artificially replicate human capabilities thanks to their software, the main
embodiment of intelligence. However, engineering robotics software has become …
embodiment of intelligence. However, engineering robotics software has become …
Feature toggles: practitioner practices and a case study
Continuous delivery and rapid releases have led to innovative techniques for integrating
new features and bug fixes into a new release faster. To reduce the probability of integration …
new features and bug fixes into a new release faster. To reduce the probability of integration …
Sat-based analysis of large real-world feature models is easy
Modern conflict-driven clause-learning (CDCL) Boolean SAT solvers provide efficient
automatic analysis of real-world feature models (FM) of systems ranging from cars to …
automatic analysis of real-world feature models (FM) of systems ranging from cars to …
Tackling combinatorial explosion: a study of industrial needs and practices for analyzing highly configurable systems
Highly configurable systems are complex pieces of software. To tackle this complexity,
hundreds of dedicated analysis techniques have been conceived, many of which able to …
hundreds of dedicated analysis techniques have been conceived, many of which able to …