The CoCoME Platform: A Research Note on Empirical Studies in Information System Evolution

Heinrich, Robert; Gärtner, Stefan; Hesse, Tom-Michael; Ruhroth, Thomas; Reussner, Ralf; Schneider, Kurt; Paech, Barbara; Jürjens, Jan

doi:10.1142/s0218194015710059

Cited by 7 publications

(7 citation statements)

References 5 publications

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“…We include also prototypical self-validation steps. We evaluate our contributions using two case studies [22,25]. The evaluation confirmed that the incremental calibration was able to detect parametric dependencies while significantly reducing the monitoring overhead.…”

Section: Introductionmentioning

confidence: 90%

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Incremental Calibration of Architectural Performance Models with Parametric Dependencies

Mazkatli

Monschein

Grohmann

et al. 2020

2020 IEEE International Conference on Software Architecture (ICSA)

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Architecture-based Performance Prediction (AbPP) allows evaluation of the performance of systems and to answer what-if questions without measurements for all alternatives. A difficulty when creating models is that Performance Model Parameters (PMPs, such as resource demands, loop iteration numbers and branch probabilities) depend on various influencing factors like input data, used hardware and the applied workload. To enable a broad range of what-if questions, Performance Models (PMs) need to have predictive power beyond what has been measured to calibrate the models. Thus, PMPs need to be parametrized over the influencing factors that may vary.Existing approaches allow for the estimation of parametrized PMPs by measuring the complete system. Thus, they are too costly to be applied frequently, up to after each code change. They do not keep also manual changes to the model when recalibrating.In this work, we present the Continuous Integration of Performance Models (CIPM), which incrementally extracts and calibrates the performance model, including parametric dependencies. CIPM responds to source code changes by updating the PM and adaptively instrumenting the changed parts. To allow AbPP, CIPM estimates the parametrized PMPs using the measurements (generated by performance tests or executing the system in production) and statistical analysis, e.g., regression analysis and decision trees. Additionally, our approach responds to production changes (e.g., load or deployment changes) and calibrates the usage and deployment parts of PMs accordingly.For the evaluation, we used two case studies. Evaluation results show that we were able to calibrate the PM incrementally and accurately.

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Section: Introductionmentioning

confidence: 90%

“…We evaluated our approach using two case studies: Common Component Modeling Example (CoCoME) [22] and TeaStore [25]. CoCoME is a trading system which is designed for the use in supermarkets.…”

Section: Evaluation Environmentsmentioning

confidence: 99%

Incremental Calibration of Architectural Performance Models with Parametric Dependencies

Mazkatli

Monschein

Grohmann

et al. 2020

2020 IEEE International Conference on Software Architecture (ICSA)

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“…We identified three main challenges in aligning EAAs with business processes. To illustrate these challenges and the concepts in the remainder of this paper, we introduce a running example of a supermarket chain based on the community case study Common Component Modeling Example (CoCoME) (Heinrich et al, 2016). Initially, the supermarket supports buying goods locally.…”

Section: Challengesmentioning

confidence: 99%

Challenges in Aligning Enterprise Application Architectures to Business Process Access Control Requirements in Evolutional Changes

Pilipchuk

Seifermann

Heinrich

et al. 2021

Proceedings of the 18th International Conference on E-Business

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Business processes define requirements for software systems that support business goals. Enterprise Application Architectures (EAAs) organize the structure and behavior of the required software systems. Satisfying requirements regarding the confidentiality of information that originate from the business process design is crucial to fulfill legal obligations and corporate policies. Violating these obligations and policies can lead to high fines and lost assets. There is a gap in modeling confidentiality requirements holistically across business processes and EAAs (Alpers et al., 2019). Hence, aligning EAAs with business processes by identifying violated business access control requirements (ACRs) during the architectural design phase is vital. Thereto, three challenges need to be overcome: i) define the meaning of read and write from ACRs for EAAs, ii) identify relevant parts of the EAA affected by ACRs and iii) define rules to cope with data type refinement. In this paper, we present the challenges, solutions to them and our scientific findings that we made during the development of AcsALign, which is an approach to align the EAAs to ACRs of business processes in the early design phase and evolution scenarios using the established modeling languages Business Process Model and Notation (BPMN) and Palladio Component Model (PCM). We apply our solutions in a real-world case study. Evaluation results show satisfying accuracy of the requirements extraction and architectural alignment.

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“…We illustrate our approach on the running example of the community-driven case study Common Component Modeling Example (CoCoME) [7]. CoCoME is subject to a broad amount of security regulations [15].…”

Section: Running Examplementioning

confidence: 99%

“…We focus on changes affecting the described business processes and software system. The CoCoME technical report [7] covers a full description of further changes.…”

Section: Running Examplementioning

confidence: 99%

Aligning Business Process Access Control Policies with Enterprise Architecture

Pilipchuk

Seifermann

Heinrich

2018

Proceedings of the Central European Cybersecurity Conference 2018

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Access control policies are a fundamental building block in meeting security and privacy requirements in organizations across business processes, enterprise architectures, and software architectures. Usage of different models for business processes and software makes eliciting and enforcing access control policies hard. Approaches like enterprise architecture management target complex mutual interdependencies between business and IT models but can be hard to apply. We suggest an approach to derive access control requirements from business processes and test compliance of software designs by data flow analyses. As a result, business processes and software designs are aligned w.r.t. access control requirements.

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The CoCoME Platform: A Research Note on Empirical Studies in Information System Evolution

Cited by 7 publications

References 5 publications

Incremental Calibration of Architectural Performance Models with Parametric Dependencies

Incremental Calibration of Architectural Performance Models with Parametric Dependencies

Challenges in Aligning Enterprise Application Architectures to Business Process Access Control Requirements in Evolutional Changes

Aligning Business Process Access Control Policies with Enterprise Architecture

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