Deriving architectural models from requirements specifications: A systematic mapping study

Souza, Eric; Moreira, Ana; Goulão, Miguel

doi:10.1016/j.infsof.2019.01.004

Cited by 18 publications

(17 citation statements)

References 36 publications

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“…Usually, the implementational and organizational aspects show a large-scale variance. Not only is the application development technology different, but also basic design principles such as the type of program, backbone design paradigms, and general usage philosophy [12][13][14]. Furthermore, the volume of data traffic per layer and between layers could easily be different.…”

Section: Background and Significancementioning

confidence: 99%

Hybrid Software Deployment Strategy for Complex Industrial Systems

et al. 2022

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Complex industrial systems run the different pieces of software in several interconnected physical layers. The software update in such an environment must be performed in the shortest possible period with the lowest possible resource usage. Namely, it is critical to minimize the data traffic, decrease software downtime, and reduce the impact of the transitional stage during the update process. To meet these requirements and to unify the update process, the common software node structure along with a hybrid software deployment strategy is proposed. The hybrid strategy is defined as a combination of the existing and well-tested techniques—blue/green, canary, and feature flags. The main aim was to utilize their positive sides and to obtain a better overall effect. The approach was tested in the simulation environment, based on the realistic factory layout, and running the software related to the enterprise resource planning (ERP) level. For successful updates, the proposed hybrid deployment method reduced downtime on server nodes to less than 5% and on client nodes to a half compared with the standard approach. The volume of data traffic reduction in a configuration with sentinel nodes is reduced by one-third. The presented results look promising, especially in cases of erroneous updates when a roll back is needed, where the downtime on the server nodes is reduced to the level of 3%. Achieved results are used to define the set of recommendations that could be extended for the other software layers, followed by a discussion about further potential problems and strategy variations.

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Section: Background and Significancementioning

confidence: 99%

Hybrid Software Deployment Strategy for Complex Industrial Systems

et al. 2022

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“…Software similarity measurements using UML diagrams: A systematic literature review http://doi.org/10.26594/register.v8i1.2248 modification of the Souza metric [5]. These consistency norms incorporate inquiries evaluating the quality of a report and its contribution to the SLR's range.…”

Section: Quality Assurance and Data Extractionmentioning

confidence: 99%

Software similarity measurements using UML diagrams: A systematic literature review

Triandini

Fauzan

Siahaan

et al. 2021

regist. j. ilm. teknol. sist. inf.

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Every piece of software uses a model to derive its operational, auxiliary, and functional procedures. Unified Modeling Language (UML) is a standard displaying language for determining, recording, and building a software product. Several algorithms have been used by researchers to measure similarities between UML artifacts. However, there no literature studies have considered measurements of UML diagram similarities. This paper presents the results of a systematic literature review concerning similarity measurements between the UML diagrams of different software products. The study reviews and identifies similarity measurements of UML artifacts, with class diagram, sequence diagram, statechart diagram, and use case diagram being UML diagrams that are widely used as research objects for measuring similarity. Measuring similarity enables resolution of the problem domains of software reuse, similarity measurement, and clone detection. The instruments used to measure similarity are semantic and structural similarity. The findings indicate opportunities for future research regarding calculating other UML diagrams, compiling calculation information for each diagram, adapting semantic and structural similarity calculation methods, determining the best weight for each item in the diagram, testing novel proposed methods, and building or finding good datasets for use as testing material.

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“…Study quality assessment is not a mandatory practice in case of a SMS. However, based on some recent SMS [50][51][52][53], we decided to include a quality assessment step into our mapping protocol. Based on Kitchenham and Charters guidelines [31], we firstly constructed a quality assessment checklist comprising of ten questions that cover several study aspects including design, conduct, data analysis and conclusion.…”

Section: Study Quality Assessmentmentioning

confidence: 99%

Section: Study Quality Assessmentmentioning

confidence: 99%

How does object-oriented code refactoring influence software quality? Research landscape and challenges

Kaur

Singh

2019

Journal of Systems and Software

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Context: Software refactoring aims to improve software quality and developer productivity. Numerous empirical studies investigating the impact of refactoring activities on software quality have been conducted over the last two decades.Objective: This study aims to perform a comprehensive systematic mapping study of existing empirical studies on evaluation of the effect of object-oriented code refactoring activities on software quality attributes. Method:We followed a multi-stage scrutinizing process to select 142 primary studies published till December 2017. The selected primary studies were further classified based on several aspects to answer the research questions defined for this work. In addition, we applied vote-counting approach to combine the empirical results and their analysis reported in primary studies. Results:The findings indicate that studies conducted in academic settings found more positive impact of refactoring on software quality than studies performed in industries. In general, refactoring activities caused all quality attributes to improve or degrade except for cohesion, complexity, inheritance, fault-proneness and power consumption attributes. Furthermore, individual refactoring activities have variable effects on most quality attributes explored in primary studies, indicating that refactoring does not always improve all quality attributes. Conclusions:This study points out several open issues which require further investigation, e.g., lack of industrial validation, lesser coverage of refactoring activities, limited tool support, etc.Keywords: Software quality, object-oriented software, refactoring activity, quality measures, systematic mapping study.© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 License http://creativecommons.org/licenses/by-nc-nd/4.0/ 1. Various industry practitioners are oblivious to the impact of refactoring activities on software quality.Consequently, while performing any refactoring activity, they feel reluctant as they believe refactoring may either break the code or result in the wastage of resources [16][17]. Their concerns can be attributed to the scarcity of appropriate sources that discuss state-of-the-art of software refactoring process and its benefits in a lucid manner. Hence, this paper reports an in-depth systematic mapping study (SMS) to analyse, synthesize and present the empirical findings related to the effect of refactoring activities targeting code smells on software quality. Awareness about the effect of planned refactoring changes on software quality will boost the confidence of developers in exercising software refactoring as regular development practice. 2. Retrospectively, it is observed that so far there have been only four literature surveys covering the relationship between refactoring and software quality. Among them, three [18][19][20] partially and one comprehensively (Dallal and Abdin; published in 2017 covering the literature till 2015) [21] explored the impact of refactoring activities on object-oriented softw...

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Deriving architectural models from requirements specifications: A systematic mapping study

Cited by 18 publications

References 36 publications

Hybrid Software Deployment Strategy for Complex Industrial Systems

Hybrid Software Deployment Strategy for Complex Industrial Systems

Software similarity measurements using UML diagrams: A systematic literature review

How does object-oriented code refactoring influence software quality? Research landscape and challenges

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