Pattern-based framework for modularized software development and evolution robustness

Chang, Chih‐Hung; Lu, Chih-Wei; Hsiung, Pao-Ann

doi:10.1016/j.infsof.2010.11.006

Cited by 6 publications

(6 citation statements)

References 18 publications

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“…The IC1, IC2, EC4, EC5, and EC6 criteria were applied. Finally, after applying the three rounds and the IC and EC, 36 primary studies were obtained (see Table 3 ). The data extraction and synthesis processes for the 36 primary studies were conducted by using a form in which each study was identified with ID [13–15, 18, 22–53 ] and classified according to its context, validation, terminology, and usefulness in answering each research question.…”

Section: Methodsmentioning

confidence: 99%

“…Considering this premise, some papers in the SLR present technology implementations or report lessons learned, but without any validity study. On the other hand, eight research works [18, 22, 25, 29–31, 47 ] are considered to have a high level of rigor and relevance, because these papers are applied to large‐sized applications.…”

Section: Methodsmentioning

confidence: 99%

“…The 41 papers obtained from conducting the review phase were coded as in [3, 11, 13–15, 18, 22–56 ]. They are the primary studies used to address the three research questions (see references and Complementary data (https://bit.ly/34rAYkm )).…”

Section: Reconstruction and Reverse Engineering Of Software Architementioning

confidence: 99%

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Towards a reference process for software architecture reconstruction

et al. 2020

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Nowadays, software systems remain useful and competitive; entail the inevitable need to change over time and to be adapted to new technologies, platforms, and architectures. These quick changes imply following systematic, automated, or standardised processes that provide recommendations and guidelines to architects during software architecture reconstruction. Considerable research work on architecture reconstruction has been conducted. However, it needs to be studied thoroughly to determine what are the common activities and elements to reconstruct software architectures, and to define a reference process for systematically guiding the evolution of software architectures. This work addresses the need for defining a process for software architecture reconstruction called software improvement in the reconstruction of architectures (SIRA). This process has been rigorously designed from the results of a systematic literature review and a small survey of related work. As a result, SIRA integrates and extends previous research and can be conceived as a reference process to reconstruct software architectures in a semi‐automated way. In addition, this work also determines the common elements of the architecture reconstruction process: (i) techniques and activities; (ii) architectural elements, patterns, and attributes; (iii) mechanisms and strategies; and (iv) the automation and recommendation tasks of the process.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Towards a reference process for software architecture reconstruction

et al. 2020

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“…Framework also includes a set of abstract and concrete classes that work together and contains their interface definitions of instances. These classes are constructed as reusable components for a domain . The goal of patterns creates a common interface to help software developers resolve recurring problems encountered throughout all aspects of software development.…”

Section: Design Principles Of Pattern Based Multi‐dgas Educational Frmentioning

confidence: 99%

“…Modularity—ability for plug in or to be integrated with other sub‐systems. Distribution—enabling deployment to the internet .…”

Section: Design Principles Of Pattern Based Multi‐dgas Educational Frmentioning

confidence: 99%

Multi‐DGAS: A pattern based educational framework design for power transformers faults interpretation and comparative performance analysis

Varan

Yurtsever

2017

Comp Applic In Engineering

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Taking necessary measures in advance for early prediction of the transformer failures are very crucial. Dissolved gas in oil analysis (DGA) techniques that used in electrical power systems has become an internationally accepted standard in condition based maintenance (CBM) studies have high complexity and increasing demands of the quick‐service‐ready paradigm in power transformers. This standard includes the implementation steps of various complex DGA methods named basic gas, Rogers, Doernenburg, Duval triangle, and pentagon. Mentioned methods are quite complicated and their application steps are strict rules defined in detailed procedures. The adaptation of these methods to transformer maintenance procedures that prepared according to standards and tested for correctness creates a valuable tool. In this study, a pattern based educational framework has been designed to integrate state of arts DGA techniques help for trainers, graduate researchers working on DGA techniques, and also for maintenance teams while taking critical decisions on power transformers. Developed Multi‐DGAS educational framework is designed for modular construction that can be integrated with online condition monitoring and diagnostic systems for electric power systems. Success of the proposed framework revealed with newly proposed pentagon method in regard with comparison of classical methods by using oil samples which have been taken under the energized condition of different 135 transformers within multi‐phase which failure histories already known. Analysis of dissolved gases in transformer oil is performed according to ASTM‐D 3612 procedure using 3800 GC Varian gas chromatograph apparatus.

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