A Model-driven Approach to Aspect Mining

Although object-oriented programming (OOP) methodologies immensely promote reusable and well-factored decomposition of complex source code, legacy software systems often show symptoms of deteriorating design over time due to lack of maintenance. Software systems may have different business and application contexts, but most of these systems require similar maintenance mechanism of understanding, analysis and transformation. As a consequence, intensive re-engineering efforts based on the model driven approach can be effective ensuring that best practices are followed during maintenance and eventually reducing the development cost. In this paper, we suggest detailed framework of re-engineering which includes: (i) rigorous and automated source code analysis technique for identification, characterization and prioritization of most prominent and threatening design flaws in legacy software, (ii) migration of existing the code to aspect-oriented programming (AOP) code by exploiting current state of art for aspect mining mechanism and incorporating behavioral knowledge of cross-cutting concerns. To exemplify how the approach works a case study has been conducted to experimentally validate the idea and analyze the effect of process on specific software quality spectrum. An explicit analysis of prevalent work on the subject and their critical reviews are also presented to further enhance the recognition of proposed re-engineering framework.

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A model-driven approach to cross-platform development of accessible business apps

Proceedings of the 35th Annual ACM Symposium on Applied Computing ◽

10.1145/3341105.3375765 ◽

2020 ◽

Author(s):

Christoph Rieger ◽

Daniel Lucrédio ◽

Renata Pontin M. Fortes ◽

Herbert Kuchen ◽

Felipe Dias ◽

...

Keyword(s):

Model Driven ◽

Cross Platform ◽

Platform Development ◽

Model Driven Approach

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Learn-CIAM: A Model-Driven Approach for the Development of Collaborative Learning Tools

Applied Sciences ◽

10.3390/app11062554 ◽

2021 ◽

Vol 11 (6) ◽

pp. 2554

Author(s):

Yoel Arroyo ◽

Ana I. Molina ◽

Miguel A. Redondo ◽

Jesús Gallardo

Keyword(s):

Collaborative Learning ◽

Methodological Approach ◽

Automatic Generation ◽

Learning Activities ◽

Learning Tools ◽

Model Driven ◽

Collaborative Tools ◽

Learning Tasks ◽

Collaborative Learning Tools ◽

Model Driven Approach

This paper introduces Learn-CIAM, a new model-based methodological approach for the design of flows and for the semi-automatic generation of tools in order to support collaborative learning tasks. The main objective of this work is to help professors by establishing a series of steps for the specification of their learning courses and the obtaining of collaborative tools to support certain learning activities (in particular, for in-group editing, searching and modeling). This paper presents a complete methodological framework, how it is supported conceptually and technologically, and an application example. So to guarantee the validity of the proposal, we also present some validation processes with potential designers and users from different profiles such as Education and Computer Science. The results seem to demonstrate a positive reception and acceptance, concluding that its application would facilitate the design of learning courses and the generation of collaborative learning tools for professionals of both profiles.

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