Capturing software architecture knowledge for pattern-driven design

Farshidi, Siamak; Jansen, Slinger; Werf, Jan Martijn E. M. van der

doi:10.1016/j.jss.2020.110714

Cited by 20 publications

(21 citation statements)

References 40 publications

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“…Emphasis on the case study participants' opinion as a measurement instrument is risky, as they may not have sufficient knowledge to make a valid judgment. We counter this risk by conducting more than one case study, assuming that the case study participants are handling their interest and applying the DSS to other problem domains, where we find similar results [20,21,22,24,18,26,23]. External validity concerns the domain to which the research findings can be generalized.…”

Section: Limitations and Threats To Validitymentioning

confidence: 90%

“…Another question is whether the framework and the DSS can be applied to other problem domains as well. The problem domains [20,21,24,26] were selected opportunistically and pragmatically, but we are convinced that there are still many decision problems to which the framework and the DSS can be applied. The categories of problems to which the framework and the DSS can be applied successfully can be summed up as follows: (1) the problem regards a technology decision in system design with long-lasting consequences, (2) there is copious scientific, industry, and informal knowledge publicly available to software engineers, and (3) the (team of) software engineer(s) is not knowledgeable in the field but very knowledgeable about the system requirements.…”

Section: Limitations and Threats To Validitymentioning

confidence: 99%

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A Decision Model for Decentralized Autonomous Organization Platform Selection: Three Industry Case Studies

Baninemeh¹,

Farshidi²,

Jansen³

2021

Preprint

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Context: Decentralized autonomous organizations as a new form of online governance are collections of smart contracts deployed on a blockchain platform that intercede groups of people. A growing number of Decentralized Autonomous Organization Platforms, such as Aragon and Colony, have been introduced in the market to facilitate the development process of such organizations. Selecting the best fitting platform is challenging for the organizations, as a significant number of decision criteria, such as popularity, developer availability, governance issues, and consistent documentation of such platforms, should be considered. Additionally, decision-makers at the organizations are not experts in every domain, so they must continuously acquire volatile knowledge regarding such platforms and keep themselves updated. Accordingly, a decision model is required to analyze the decision criteria using systematic identification and evaluation of potential alternative solutions for a development project. Method: We have developed a theoretical framework to assist software engineers with a set of Multi-Criteria Decision-

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Section: Limitations and Threats To Validitymentioning

confidence: 90%

Section: Limitations and Threats To Validitymentioning

confidence: 99%

A Decision Model for Decentralized Autonomous Organization Platform Selection: Three Industry Case Studies

Baninemeh¹,

Farshidi²,

Jansen³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Emphasis on the case study participants' opinion as a measurement instrument is risky, as the case study participants may not have sufficient knowledge to make a valid judgment. We counter this risk by conducting more than one case study, assuming that the case study participants are handling their interest and applying the DSS to other problem domains, where we find similar results [11,[54][55][56]. External validity concerns the domain to which the research findings can be generalized.…”

Section: Limitations and Threats To Validitymentioning

confidence: 98%

“…Another question is whether the framework and the DSS can be applied to other problem domains as well. The problem domains [11,[54][55][56] were selected opportunistically and pragmatically, but we are convinced that there are still many decision problems to which the framework and the DSS can be applied. The categories of problems to which the framework and the DSS can be applied successfully can be summed up as follows: (1) The problem regards a technology decision in system design with long-lasting consequences, (2) there is copious scientific, industry, and informal knowledge publicly available to software engineers, and (3) the (team of) software engineer(s) is not knowledgeable in the field but very knowledgeable about the system requirements.…”

Section: Limitations and Threats To Validitymentioning

confidence: 99%

“…Recently, we built five decision models based on the framework to model the selection of database management systems [54], cloud service providers [11], blockchain platforms [55], software architecture patterns [56], and programming languages. In all five studies, case studies were conducted to evaluate the DSS's effectiveness and usefulness in addressing MCDM problems.…”

Section: Strengths and Liabilitiesmentioning

confidence: 99%

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Model-driven development platform selection: four industry case studies

Farshidi

Jansen

Fortuin³

2021

Softw Syst Model

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Model-driven development platforms shift the focus of software development activity from coding to modeling for enterprises. A significant number of such platforms are available in the market. Selecting the best fitting platform is challenging, as domain experts are not typically model-driven deployment platform experts and have limited time for acquiring the needed knowledge. We model the problem as a multi-criteria decision-making problem and capture knowledge systematically about the features and qualities of 30 alternative platforms. Through four industry case studies, we confirm that the model supports decision-makers with the selection problem by reducing the time and cost of the decision-making process and by providing a richer list of options than the enterprises considered initially. We show that having decision knowledge readily available supports decision-makers in making more rational, efficient, and effective decisions. The study’s theoretical contribution is the observation that the decision framework provides a reliable approach for creating decision models in software production.

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A Decision Support System for Pattern-Driven Software Architecture

Farshidi¹,

Jansen²

2020

Communications in Computer and Information Science

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The selection process of architectural patterns is challenging for software architects, as knowledge about patterns is scattered among a wide range of literature. Knowledge about architectural patterns must be collected, organized, stored, and quickly retrieved when it needs to be employed. In this tool paper, we introduce a decision support system that uses a decision model for supporting software architects with the pattern selection problem according to their requirements, including functional and quality requirements. The decision model is built based on a technology selection framework for modeling multi-criteria decision-making problems in software production. Twenty-four software architects in the Netherlands have evaluated the tool. They confirm that the tool supports them with their daily decision-making process.

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Capturing software architecture knowledge for pattern-driven design

Cited by 20 publications

References 40 publications

A Decision Model for Decentralized Autonomous Organization Platform Selection: Three Industry Case Studies

A Decision Model for Decentralized Autonomous Organization Platform Selection: Three Industry Case Studies

Model-driven development platform selection: four industry case studies

A Decision Support System for Pattern-Driven Software Architecture

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