Preventing software architecture erosion through static architecture conformance checking

Silva, Mahesh De; Perera, Indika

doi:10.1109/iciinfs.2015.7398983

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…Rules and grammars for architecture conformance checking, especially for the "quality assurance" of the software [73], is another application domain. Some rule-based approaches for architecture selection relate the non-functional requirements, domain requirements, and quality characteristics to architecture styles [97], architecture models [79], architectural patterns [99] and architectural aspects [98].…”

Section: About Compliance Checkingmentioning

confidence: 99%

DD-KARB: Data-Driven Compliance to Quality by Rule Based Benchmarking

Besharati

Izadi

2022

Preprint

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Rather than proof and logical evaluation, benchmarking can be used for compliance assessment. Naturally, a set of benchmarks can shape an applied solution to compliance assessment. This paper proposes the KARB solution system, i.e. preventing compliance anomalies through rule-based benchmarking. In fact, rule-based benchmarking means evaluating an under-compliance system with its symbolic specification and using a set of symbolic rules (on the behalf of the semantic logic of evaluation). A case study was conducted to demonstrate and analyze the KARB solution. The IR-QUMA study (Iranian Survey on Quality in Messenger Apps) was then conducted to evaluate the quality of some messenger applications. According to the evaluation results, the hybrid DD-KARB method (with a combination of semantics-awareness and data-drivenness) is more effective than solo methods and can compute a somehow good estimation for the messenger application user quality scores. Therefore, DD-KARB can be considered a method for quality benchmarking in this technical context.

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Section: About Compliance Checkingmentioning

confidence: 99%

DD-KARB: Data-Driven Compliance to Quality by Rule Based Benchmarking

Besharati

Izadi

2022

Preprint

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“…Rules and grammars for architecture conformance checking, especially for "software quality assurance" [46], is another application domain. Some rule-based approaches for architecture selection relate the nonfunctional requirements, domain requirements, and quality characteristics to architectural styles [47], architectural models [48], architectural patterns [49] and architectural aspects [50].…”

Section: Compliance Checkingmentioning

confidence: 99%

DD-KARB: data-driven compliance to quality by rule based benchmarking

Besharati

Izadi

2022

J Big Data

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The problem of compliance checking and assessment is to ensure that the design or implementation of a system meets some desired properties and complies with some rules or regularities. This problem is a key issue in several human and engineering application domains such as organizational management and e-governance, software and IT industries, and software and systems quality engineering. To deal with this problem, some different approaches and methods have been proposed. In addition to the approaches such as formal methods, mathematical proofs, and logical evaluations, benchmarking can be used for compliance assessment. Naturally, a set of benchmarks can shape an applied solution to compliance assessment. In this paper we propose KARB solution system, i.e. keeping away compliance Anomalies through Rule-based Benchmarking. In fact, in our proposed method the rule-based benchmarking means evaluating the conformity of an under-compliance system to a set of rules. In this solution approach, the under-compliance system is specified symbolically (using formal and logical descriptions). Also, the desired rules are specified formally as the semantic logic in the evaluation process. After reviewing the proposed method, a case study was conducted to demonstrate and analyze the KARB solution. The IR-QUMA study (Iranian Survey on Quality in Messenger Apps) was then conducted to evaluate the quality of some messenger applications. According to the evaluation results, the hybrid DD-KARB method (with a combination of semantics-awareness and data-drivenness) is more effective than solo methods and can compute a good estimation for the messenger application user quality scores. Therefore, DD-KARB can be considered as a method for quality benchmarking in this technical context.

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“…Architecture erosion is a topic that has been extensively researched in the academic community 4,5,23,24 . Given that our approach focuses on recovery , we present the closest related approaches and tools relevant to this part of architecture erosion and compare them to our work.…”

Section: Related Workmentioning

confidence: 99%

Architecture violations detection and visualization in the continuous integration pipeline

et al. 2021

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New code in projects can introduce violations that deviate the code implementation from the intended architecture. This process is known as architecture erosion. In this article, we propose an approach for recovering the implemented architecture, and detecting violations when comparing it with the intended architecture. Given a code repository, the continuous integration pipeline calls the solution to detect the incidences of architecture violations as well as some quality and social metrics. This data is presented in metric‐centered views that help development teams to manage architecture erosion. Our approach is based on model‐driven engineering techniques since models serve to represent the code, and a model‐based pattern language helps us to automate the search for violation occurrences and execute corresponding actions (e.g., creation/assignment of issues). We confirm the approach benefits in a real project implemented by a software developing company, in a sample project available on the internet, and in a software development course, including 20 projects, where every single project decreases its architecture violations density through time.

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Preventing software architecture erosion through static architecture conformance checking

Cited by 7 publications

References 13 publications

DD-KARB: Data-Driven Compliance to Quality by Rule Based Benchmarking

DD-KARB: Data-Driven Compliance to Quality by Rule Based Benchmarking

DD-KARB: data-driven compliance to quality by rule based benchmarking

Architecture violations detection and visualization in the continuous integration pipeline

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