An Expandable Extraction Framework for Architectural Performance Models

Walter, Jürgen; Stier, Christian; Koziolek, Heiko; Kounev, Samuel

doi:10.1145/3053600.3053634

Cited by 23 publications

(6 citation statements)

References 15 publications

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“…Software Performance Engineering (SPE) and path and state-based methods are used to increase the reliability performance. These modeling methods exploit mathematical equations resulting in architectural statistics such as the mean execution time of a component and can be mixed with simulation [ 80 , 81 ].…”

Section: Software Architecture Evaluationmentioning

confidence: 99%

Lightweight Software Architecture Evaluation for Industry: A Comprehensive Review

Sahlabadi

Muniyandi

Shukur

et al. 2022

Sensors

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Processes for evaluating software architecture (SA) help to investigate problems and potential risks in SA. It is derived from many studies that proposed a plethora of systematic SA evaluation methods, while industrial practitioners currently refrain from applying them since they are heavyweight. Nowadays, heterogeneous software architectures are organized based on the new infrastructure. Hardware and associated software allow different systems, such as embedded, sensor-based, modern AI, and cloud-based systems, to cooperate efficiently. It brings more complexities to SA evaluation. Alternatively, lightweight architectural evaluation methods have been proposed to satisfy the practitioner’s concerns, but practitioners still do not adopt these methods. This study employs a systematic literature review with a text analysis of SA’s definitions to propose a comparison framework for SA. It identifies lightweight features and factors to improve the architectural evaluation methods among industrial practitioners. The features are determined based on the practitioner’s concerns by analyzing the architecture’s definitions from stakeholders and reviewing architectural evaluation methods. The lightweight factors are acquired by studying the five most commonly used lightweight methods and the Architecture-based Tradeoff Analysis Method (ATAM), the most well-known heavyweight method. Subsequently, the research addresses these features and factors.

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Section: Software Architecture Evaluationmentioning

confidence: 99%

Lightweight Software Architecture Evaluation for Industry: A Comprehensive Review

Sahlabadi

Muniyandi

Shukur

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Thus, we neglected other performanceinfluencing factors like IO-based contention or limited concurrency due to thread pools as they could not be derived directly from the given observation data. For extracting a more finegrained performance model, we could use a trace-based approach as described by Walter et al (2017).…”

Section: Data Collectionmentioning

confidence: 99%

Scalability testing automation using multivariate characterization and detection of software performance antipatterns

Avritzer¹,

Britto²,

Trubiani³

et al. 2022

Journal of Systems and Software

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“…We can see that 22 selected papers aim to provide QoS, where the target is to satisfy different the requirements/properties for the overall quality of the system, including guaranteeing a certain level of performance. For instance, in [SP37], the authors proposed an approach for the automated extraction of qualityaware architecture models to explore the performance properties in design-time and runtime scenarios. In [SP59], the authors presented a method to apply the DevOps paradigm in the context of QoS-aware adaptive applications.…”

Section: What and How Performance Problems Have Been Addressed (Rq )mentioning

confidence: 99%

Architectural Support for Software Performance in Continuous Software Engineering: A Systematic Mapping Study

Eramo,

Tucci,

Di Pompeo

et al. 2022

SSRN Journal

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An Expandable Extraction Framework for Architectural Performance Models

Cited by 23 publications

References 15 publications

Lightweight Software Architecture Evaluation for Industry: A Comprehensive Review

Lightweight Software Architecture Evaluation for Industry: A Comprehensive Review

Scalability testing automation using multivariate characterization and detection of software performance antipatterns

Architectural Support for Software Performance in Continuous Software Engineering: A Systematic Mapping Study

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