Decision-making techniques for software architecture design

Falessi, Davide; Cantone, Giovanni; Kazman, Rick; Kruchten, Philippe

doi:10.1145/1978802.1978812

Cited by 129 publications

(66 citation statements)

References 37 publications

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“…Architectural design decisions tend to be driven by technological requirements and constraints [21], which also emphasizes the effect of technology on business-IT alignment. A process for integration architecture design is proposed in [31]. It relies on a model that captures the relationships between systems, their desired properties and qualities, and the design decisions.…”

Section: Methodologies Of Systems Integrationmentioning

confidence: 99%

A Quality-Driven Methodology for Information Systems Integration

Zikra

Stirna

Zdravković

2017

J. Complex Syst. Inform. Model. Q.

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Abstract. Information systems integration is an essential instrument for organizations to attain advantage in today's growing and fast changing business and technology landscapes. Integration solutions generate added value by combining the functionality and services of heterogeneous and diverse systems. Existing integration environments tend to rely heavily on technical, platformdependent skills. Consequently, the solutions that they enable are not optimally aligned with the envisioned business goals of the organization. Furthermore, the gap between the goals and the solutions complicates the task of evaluating the quality of integration solutions. To address these challenges, we propose a quality-driven, model-driven methodology for designing and developing integration solutions. The methodology spans organizational and systems design details, providing a holistic view of the integration solution and its underlying business goals. A multi-view meta-model provides the basis for the integration design. Quality factors that affect various aspects of the integration solution guide and inform the progress of the methodology. An example business case is presented to demonstrate the application of the methodology.

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Section: Methodologies Of Systems Integrationmentioning

confidence: 99%

A Quality-Driven Methodology for Information Systems Integration

Zikra

Stirna

Zdravković

2017

J. Complex Syst. Inform. Model. Q.

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“…y N 3 = (3,3,3,3,6,6,5,5,7,5,4,8,5,6,5,5,7,6,8), (25) y N 4 = (4,4,4,4,6,6,7,7,5,9,5,5,7,8,7,6,5,7,7).…”

Section: Obtaining Values Of the Metricsmentioning

confidence: 99%

“…As a result, we have obtained four the following vector estimates: y1 = (1,6,8,7,8,8,7,8,9,8,7,6,8,7), (15) y2 = (2,7,6,6,7,7,8,6,7,7,7,7,6,7), (16) y3 = (3,6,5,7,5,4,8,5,6,5,5,7,6,8), (17) y4 = (4,6,7,5,9,5,5,7,8,…”

Section: Preference Relationsmentioning

confidence: 99%

“…A number of techniques have been proposed to assist software architects in making architecture decisions [3,4]. There are several groups of such techniques, where some of them focused on architecture trade-off analysis, quality evaluation model analysis, performance optimization and some others well-known techniques [5,6,7,8,9,10,11,12,13,14,15].…”

Section: Introductionmentioning

confidence: 99%

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Multiple Criteria Decision Making for the Structural Organization of Software Architecture

Орлов¹,

Vishnyakov²

2016

csit

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Architectural decisions have a significant impact on the development process as well as on the quality of applied systems. On the other hand, it would be desirable to rely on mature solutions and proven experience when making such decisions. Partially this problem could be solved with the use of architectural patterns. Such solution for the same task can be implemented using different sets of patterns. As a result, there is a problem of choosing and evaluating the software architecture that is build using a number of patterns and that meets the system requirements. In this paper, the technique that allows selecting the optimal software architecture for applied software is proposed. This selection technique is reduced to the criteria importance theory problem. For applying it, we need to pick up a set of metrics that assess the characteristics of the software architecture. Next, we need to determine metrics scale and information about their importance. The results allow us making conclusions about usefulness of the proposed technique during architecture design phase for applied software.

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“…Our method takes as input decision models that correspond to those already produced by other requirements engineering and architecture methods [22,45,47,49]. The only other required inputs are probability distributions modelling the decision makers uncertainty about the model parameters.…”

Section: Evaluation and Future Workmentioning

confidence: 99%

Uncertainty, risk, and information value in software requirements and architecture

Letier

Stefan

Barr

2014

Proceedings of the 36th International Conference on Software Engineering

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Uncertainty complicates early requirements and architecture decisions and may expose a software project to significant risk. Yet software architects lack support for evaluating uncertainty, its impact on risk, and the value of reducing uncertainty before making critical decisions. We propose to apply decision analysis and multi-objective optimisation techniques to provide such support. We present a systematic method allowing software architects to describe uncertainty about the impact of alternatives on stakeholders' goals; to calculate the consequences of uncertainty through Monte-Carlo simulation; to shortlist candidate architectures based on expected costs, benefits and risks; and to assess the value of obtaining additional information before deciding. We demonstrate our method on the design of a system for coordinating emergency response teams. Our approach highlights the need for requirements engineering and software cost estimation methods to disclose uncertainty instead of hiding it.

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Decision-making techniques for software architecture design

Cited by 129 publications

References 37 publications

A Quality-Driven Methodology for Information Systems Integration

A Quality-Driven Methodology for Information Systems Integration

Multiple Criteria Decision Making for the Structural Organization of Software Architecture

Uncertainty, risk, and information value in software requirements and architecture

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