Models in Software Architecture Derivation and Evaluation: Challenges and Opportunities

González-Huerta, Javier; Insfrán, Emilio; Abrahão, Silvia

doi:10.1007/978-3-319-25156-1_2

Cited by 2 publications

(2 citation statements)

References 32 publications

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“…In the last few years, several methods for evaluating software architectures have been defined: scenario-based (SAAM, architecture tradeoff analysis method (ATAM), ALMA , etc.) [ 40 , 41 , 42 , 43 , 44 , 45 ], mathematical model-based (reliability analysis, performance analysis) [ 46 ] and metrics-based software architecture evaluation methods (QuADAI ) [ 47 ]. In order to evaluate the advantages of the proposed architecture, based on the previously-mentioned methods, a simplified approach of the architecture tradeoff analysis method (ATAM) has been selected to perform a comparative analysis [ 40 , 48 , 49 ].…”

Section: Resultsmentioning

confidence: 99%

Enhanced Flexibility and Reusability through State Machine-Based Architectures for Multisensor Intelligent Robotics

Herrero

Outón

Puerto

et al. 2017

Sensors

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This paper presents a state machine-based architecture, which enhances the flexibility and reusability of industrial robots, more concretely dual-arm multisensor robots. The proposed architecture, in addition to allowing absolute control of the execution, eases the programming of new applications by increasing the reusability of the developed modules. Through an easy-to-use graphical user interface, operators are able to create, modify, reuse and maintain industrial processes, increasing the flexibility of the cell. Moreover, the proposed approach is applied in a real use case in order to demonstrate its capabilities and feasibility in industrial environments. A comparative analysis is presented for evaluating the presented approach versus traditional robot programming techniques.

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Section: Resultsmentioning

confidence: 99%

Enhanced Flexibility and Reusability through State Machine-Based Architectures for Multisensor Intelligent Robotics

Herrero

Outón

Puerto

et al. 2017

Sensors

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“…The list of AOMs in Table I was compiled from several surveys that were conducted over the years: 4 from 2004[2], 7 from 2006[36], 8 from 2008[44], 2 from 2012[4,46], 7 from 2014[1,17], and 2 from 2020[14,33].…”

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confidence: 99%

Optimal Software Architecture From Initial Requirements: An End-to-End Approach

Erlich,

Lorenz

2020

Preprint

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A software architect turns system requirements into a suitable software architecture through an architecture optimization process. However, how should the architect decide which quality improvement to prioritize, e.g., security or reliability? In software product line, should a small improvement in multiple products be preferred over a large improvement in a single product? Existing architecture optimization methods handle various steps in the process, but none of them systematically guides the architect in generating an optimal architecture from the initial requirements. In this work we present an end-to-end approach for generating an optimal software architecture for a single software product and an optimal family of architectures for a family of products. We report on a case-study of applying our approach to optimize five industry-grade products in a real-life product line architecture, where 359 possible combinations of ten different quality efforts were prioritized.

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Models in Software Architecture Derivation and Evaluation: Challenges and Opportunities

Cited by 2 publications

References 32 publications

Enhanced Flexibility and Reusability through State Machine-Based Architectures for Multisensor Intelligent Robotics

Enhanced Flexibility and Reusability through State Machine-Based Architectures for Multisensor Intelligent Robotics

Optimal Software Architecture From Initial Requirements: An End-to-End Approach

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