An Ontology for Microarchitectural Design Knowledge

Garzás, Javier; Piattini, Mario

doi:10.1109/ms.2005.26

Cited by 19 publications

(14 citation statements)

References 2 publications

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“…Principles, heuristics, bad smells, and so on have the same common structure, there being no substantial difference between them, as they all have the structure and form of a rule -they posit a condition and offer a recommendation [4] . Hence, in the context of the present work we use two terms: rule (to group elements such as principles, heuristics, bad smells, best practices, etc.)…”

Section: Introductionmentioning

confidence: 99%

“…The main differences between these concepts are that patterns are more formalized than rules and pattern descriptions are always broader. Patterns propose solutions to problems whereas rules are recommendations which are, to a great extent, based on the use of natural language [4,5] . Maintainability and rules and patterns are popularly synonymous with well-designed software.…”

Section: Introductionmentioning

confidence: 99%

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Do Rules and Patterns Affect Design Maintainability?

Garzás¹,

García

Piattini

2009

J. Comput. Sci. Technol.

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At the present time, best rules and patterns have reached a zenith in popularity and diffusion, thanks to the software community's efforts to discover, classify and spread knowledge concerning all types of rules and patterns. Rules and patterns are useful elements, but many features remain to be studied if we wish to apply them in a rational manner.The improvement in quality that rules and patterns can inject into design is a key issue to be analyzed, so a complete body of empirical knowledge dealing with this is therefore necessary. This paper tackles the question of whether design rules and patterns can help to improve the extent to which designs are easy to understand and modify. An empirical study, composed of one experiment and a replica, was conducted with the aim of validating our conjecture. The results suggest that the use of rules and patterns affect the understandability and modifiability of the design, as the diagrams with rules and patterns are more difficult to understand than non-rule/pattern versions and more effort is required to carry out modifications to designs with rules and patterns.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Do Rules and Patterns Affect Design Maintainability?

Garzás¹,

García

Piattini

2009

J. Comput. Sci. Technol.

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“…Esta abordagem permite que o fluxo e a transmissão de uma determinada informação ou conhecimento ocorram consistentemente durante todo o ciclo de comunicação entre pessoa-pessoa, pessoa-computador e computar-computador. Assim, esse método pode ser utilizado para facilitar a aquisição, especificação e representação formal do conhecimento em Engenharia de Software, necessário para o bom andamento e execução de projetos de desenvolvimento de sistemas [16].…”

Section: A Primeiro Desafio -De Desenvolvimento Orientado à Processounclassified

Ontology Driven Software Engineering: A Review of Challenges and Opportunities

Isotani

Bittencourt

Barbosa

et al. 2015

IEEE Latin Am. Trans.

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Abstract-Ontologies are formal representations of knowledge about a given domain. Based on them, it is possible to create more expressive knowledge bases that can be shared, extended and reused in different scenarios. In software engineering, ontologies can contribute in many different ways to improve the models, methods, techniques and processes of software development. Nevertheless, the use and benefits of ontologies and Semantic Web technologies in Software Engineering is spread across several articles and books available in the literature. In this context, this paper aims at compiling and presenting the research findings and potential benefits when applying ontologies to address three major challenges in software engineering: (1) difficulty in communicating and sharing information; (2) effective management of software development phases; and (3) development techniques and environments to support the production of semantic software through an interdisciplinary approach. We believe that the review of the literature and discussions presented in this work can contribute to disseminate best practices of using ontologies in software development as well as to give directions about this field of research, its challenges and opportunities.

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“…[14] provides a catalog of rules that every software application must comply with. Whenever a design rule is violated, there is a possibility of improvement.…”

Section: Finding Change Candidatesmentioning

confidence: 99%

Choosing the Best Design Strategy from Requirements. A Value-Based Approach

Cabrero¹,

Garzás²,

Piattini

2007

2007 IEEE International Conference on Exploring Quantifiable IT Yields

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Various different valid software design solutions may respond satisfactorily to the same product requirements. In addition, a great part of the success of a software project depends on the software design selected. However, there are very few methods that quantify how much value will be added by each particular design strategy, and hence very little time is spent in choosing the best design option. We propose a method that estimates the value of a design strategy, starting from requirements. This method is based on the probability of change of each requirement as well as of its relative importance. Those parameters will later be traced into better design artifacts. The proposed approach takes into account the cost of each strategy, the probability, or risk, and the cost of introducing a better design solution.

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An Ontology for Microarchitectural Design Knowledge

Cited by 19 publications

References 2 publications

Do Rules and Patterns Affect Design Maintainability?

Do Rules and Patterns Affect Design Maintainability?

Ontology Driven Software Engineering: A Review of Challenges and Opportunities

Choosing the Best Design Strategy from Requirements. A Value-Based Approach

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