Reverse engineering variability in an industrial product line

El-Sharkawy, Sascha; Jyoti, Dhar Saura; Krafczyk, Adam; Duszynski, Slawomir; Beichter, Tobias; Schmid, Klaus

doi:10.1145/3233027.3233047

Cited by 10 publications

(11 citation statements)

References 31 publications

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“…El-Sharkawy et al [4] report that the accurate definition of crosstree constraints is not trivial to get right. In our case, three factors facilitate the definition of CTCs:…”

Section: Defining Cross-tree Constraintsmentioning

confidence: 99%

The benefits of a feature model in banking

Fritsch

Abt

Renz

2020

Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume a - Volume A

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This experience report describes the surprisingly beneficial introduction of feature modeling at KfW, a government promotional bank. On behalf of the government and based on promotional directives, KfW grants retail loans to small and medium enterprises, business founders, self-employed professionals, municipalities and private individuals. The promotional directives, called programs, define mandatory and optional properties of these loans. We have now successfully built a feature model from these properties. Our feature model will be presented with its outstanding characteristic, which is an additional subtree containing the programs as features. Complete and correct cross-tree constraints will also allow us to analyze and scope the portfolio, reduce complexity, and speed-up time-to-market. This is the advent of product line development at KfW. In order to standardize our portfolio, we have subsequently developed tools on top of the feature model, namely, a browser-based, multiuser configurator assisting non-technical-affine users in their product design, and a generator producing complete product documentation from the feature model and partial configurations. More applications are currently underway. This is our story of applying Software Product Line Engineering in banking, a domain where it is unusual or even unknown. We share our ideas, analyses, progress, and findings where the results have been thrilling us for the past two years and will continue to do so. CCS CONCEPTS • Software and its engineering → Software product lines; Requirements analysis; • Human-centered computing → Information visualization; • Applied computing → Online banking; • Social and professional topics → Automation.

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“…El-Sharkawy et al [4] report that the accurate definition of crosstree constraints is not trivial to get right. In our case, three factors facilitate the definition of CTCs:…”

Section: Defining Cross-tree Constraintsmentioning

confidence: 99%

The benefits of a feature model in banking

Fritsch

Abt

Renz

2020

Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume a - Volume A

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“…Together with the Robert Bosch GmbH, we worked on reverse engineering of a dependency management system for a large-scale industrial product line [10]. For this, we decided to adapt the feature effect analysis described by Nadi et al [24] to the needs of Bosch.…”

Section: Experiencesmentioning

confidence: 99%

“…By means of KernelHaven, we were able to develop a first prototype very quickly, since the combination of data from different sources is a major concern of KernelHaven and first suitable parsers were already present. As a result, we could focus on the integration of parsers specific to the development environment of Bosch [10], lifting the propositional analysis of feature effects to integer-based variability [19], and on providing visualization support for reverse engineered dependencies [17]. In addition, KernelHaven's reproduction support (R4 ) simplified the execution of configured algorithms at the two partners.…”

Section: Experiencesmentioning

confidence: 99%

Improving Software Engineering Research Through Experimentation Workbenches

Schmid¹,

El-Sharkawy²,

Kröher³

2019

From Software Engineering to Formal Methods and Tools, and Back

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Experimentation with software prototypes plays a fundamental role in software engineering research. In contrast to many other scientific disciplines, however, explicit support for this key activity in software engineering is relatively small. While some approaches to improve this situation have been proposed by the software engineering community, experiments are still very difficult and sometimes impossible to replicate. In this paper, we propose the concept of an experimentation workbench as a means of explicit support for experimentation in software engineering research. In particular, we discuss core requirements that an experimentation workbench should satisfy in order to qualify as such and to offer a real benefit for researchers. Beyond their core benefits for experimentation, we stipulate that experimentation workbenches will also have benefits in regard to reproducibility and repeatability of software engineering research. Further, we illustrate this concept with a scenario and a case study, and describe relevant challenges as well as our experience with experimentation workbenches.

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“…Besides the support for research, the well-defined packaging of the various plug-ins allows to apply these analyses more easily and flexibly in industry. We experienced this in some of our industrial cooperations, where the framework greatly enhanced the usability also for the industrial partners [8].…”

Section: Introductionmentioning

confidence: 99%

“…Another supported analysis is the detection of code dependencies, which was also applied at the Bosch PS-EC product line [8]. For confidentiality reasons, we cannot show details specific for Bosch, but the general part of the analysis is publicly available and may also be applied to open source system like Linux.…”

mentioning

confidence: 99%

KernelHaven -- An Open Infrastructure for Product Line Analysis

Kröher,

El-Sharkawy,

Schmid

2021

Preprint

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KernelHaven is an open infrastructure for Software Product Line (SPL) analysis. It is intended both as a production-quality analysis tool set as well as a research support tool, e.g., to support researchers in systematically exploring research hypothesis. For flexibility and ease of experimentation KernelHaven components are plug-ins for extracting certain information from SPL artifacts and processing this information, e.g., to check the correctness and consistency of variability information or to apply metrics. A configuration-based setup along with automatic documentation functionality allows different experiments and supports their easy reproduction.Here, we describe KernelHaven as a product line analysis research tool and highlight its basic approach as well as its fundamental capabilities. In particular, we describe available information extraction and processing plug-ins and how to combine them. On this basis, researchers and interested professional users can rapidly conduct a first set of experiments. Further, we describe the concepts for extending KernelHaven by new plug-ins, which reduces development effort when realizing new experiments. CCS CONCEPTS• General and reference → Empirical studies; Experimentation; • Software and its engineering → Software product lines;

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Reverse engineering variability in an industrial product line

Cited by 10 publications

References 31 publications

The benefits of a feature model in banking

The benefits of a feature model in banking

Improving Software Engineering Research Through Experimentation Workbenches

KernelHaven -- An Open Infrastructure for Product Line Analysis

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