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IEEE software 2013年第2期30卷 87-90页

作者： Budgen, David Univ Durham Sch Engn & Comp Durham DH1 3HP England

A mapping study of design pattern literature combined with two follow-on surveys shows only limited empirical evidence that the "Gang of Four" patterns provide a useful way of transferring design knowledge o... 详细信息

关键词： Research software design software design patterns

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Implications of semi-supervised learning for design pattern selection

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software QUALITY JOURNAL 2023年第3期31卷 809-842页

作者： Naghdipour, Ameneh Hasheminejad, Seyed Mohammad Hossein Alzahra Univ Fac Engn Dept Comp Engn Tehran Iran

The significant impact of software design patterns on software design quality has led to conducting more research in this field. A design pattern is a proven solution based on software developers' experience to solve recurring problems, which is used to acquire quality software design. However, due to a large number of design patterns, selecting an appropriate one is quite difficult. To tackle this issue, researchers have proposed different methods to automatically suggest a suitable design pattern (DP) to the designer. Among the various proposed methods, the text classification-based approach has used supervised and unsupervised methods, which have certain issues such as the need for manual dataset labeling, the need for using separate classifiers for each design pattern class, and the multi-class problem. This study addresses the mentioned issues by providing a three-phase method for choosing the appropriate design pattern. The proposed method exploits the semi-supervised learning method. Subsequently, this study proposes an evaluation model using three widely used case studies and 109 real design problems to evaluate the effectiveness of the proposed method. The evaluation results indicate that the performance of the proposed method has improved compared to the supervised learning techniques of Naive Bayes and KNearestNeighbor.

关键词： software design patterns design problems Semi-supervised learning Text categorization design pattern selection

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Formal specification and implementation of an automated pattern-based parallel-code generation framework

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INTERNATIONAL JOURNAL ON software TOOLS FOR TECHNOLOGY TRANSFER 2019年第2期21卷 183-202页

作者： Perez, Gervasio Yovine, Sergio Consejo Nacl Invest Cient & Tecn ICC Buenos Aires DF Argentina Univ Buenos Aires Buenos Aires DF Argentina

Programming correct parallel software in a cost-effective way is a challenging task requiring a high degree of expertise. As an attempt to overcoming the pitfalls undermining parallel programming, this paper proposes a pattern-based, formally grounded tool that eases writing parallel code by automatically generating platform-dependent programs from high-level, platform-independent specifications. The tool builds on three pillars: (1) a platform-agnostic parallel programming pattern, called PCR, (2) a formal translation of PCRs into a parallel execution model, namely Concurrent Collections (CnC), and (3) a program rewriting engine that generates code for a concrete runtime implementing CnC. The experimental evaluation carried out gives evidence that code produced from PCRs can deliver performance metrics which are comparable with handwritten code but with assured correctness. The technical contribution of this paper is threefold. First, it discusses a parallel programming pattern, called PCR, consisting of producers, consumers, and reducers which operate concurrently on data sets. To favor correctness, the semantics of PCRs is mathematically defined in terms of the formalism FXML. PCRs are shown to be composable and to seamlessly subsume other well-known parallel programming patterns, thus providing a framework for heterogeneous designs. Second, it formally shows how the PCR pattern can be correctly implemented in terms of a more concrete parallel execution model. Third, it proposes a platform-agnostic C++ template library to express PCRs. It presents a prototype source-to-source compilation tool, based on C++ template rewriting, which automatically generates parallel implementations relying on the Intel CnC C++ library.

关键词： Formal methods software design patterns Parallel programming Automated code generation

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Automatic Code Generation for Real-Time Systems: a Development Approach based on Components, Models, and Frameworks

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REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL 2012年第2期9卷 170-181页

作者： Alonso, Diego Angel Pastor, Juan Sanchez, Pedro Alvarez, Barbara Vicente-Chicote, Cristina Univ Politecn Cartagena Hosp Marina DSIE Cartagena 30202 Spain

Real-Time Systems have some characteristics that make them particularly sensitive to architectural decisions. The use of Frameworks and Components has proven effective in improving productivity and software quality, especially when combined with software Product Line approaches. However, the results in terms of software reuse and standardization make the lack of portability of both the design and component-based implementations clear. This article, based on the Model-Driven software Development paradigm, presents an approach that separates the component-based description of real-time applications from their possible implementations on different platforms. This separation is supported by the automatic integration of the code obtained from the input models into object-oriented frameworks. The article also details the architectural decisions taken in the implementation of one of such frameworks, which is used as a case study to illustrate the proposed approach. Finally, a comparison with other alternative approaches is made in terms of development cost.

关键词： software Engineering Component-Based software Development Model-Driven software Development Framework software design patterns Real-Time

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Architectural patterns and Auto-Fusion Process for Automated Multisensor Fusion in SOA System-of-Systems

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IEEE SYSTEMS JOURNAL 2009年第3期3卷 304-316页

作者： Rothenhaus, Kurt Joseph Michael, James Bret Shing, Man-Tak USS Harry S Truman CVN 75 Fpo AE 09524 USA USN Postgrad Sch Dept Comp Sci Monterey CA 93943 USA

This paper addresses the need to efficiently fuse data from multiple sources and effectively control and monitor the distribution of the data in a dynamic service-oriented architecture based command and control system of systems. We present an architecture framework consisting of two software architectural patterns and an auto-fusion process to guide the development of distributed and scalable systems to support improved data fusion and distribution. We demonstrate the technical feasibility of applying the patterns and process by prototyping an auto-fusion system.

关键词： Data management extensible command and control multisensor fusion service-oriented architectures software design patterns

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Building crop models within different crop modelling frameworks

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AGRICULTURAL SYSTEMS 2012年 113卷 57-63页

作者： Adam, M. Corbeels, M. Leffelaar, P. A. Van Keulen, H. Wery, J. Ewert, F. Ctr Cooperat Int Rech Agron Dev CIRAD UMR AGAP F-34398 Montpellier 5 France CIRAD INRA SupAgro Ctr Cooperat Int Rech Agron Dev CIRAD UMR Syst 1230 F-34060 Montpellier 1 France Wageningen Univ Plant Prod Syst Grp NL-6700 AK Wageningen Netherlands Univ Wageningen & Res Ctr NL-6700 AP Wageningen Netherlands CIRAD INRA SupAgro UMR Syst 1230 SupAgro F-34060 Montpellier 1 France Univ Bonn Inst Crop Sci & Resource Conservat INRES Crop Sci Grp D-53115 Bonn Germany

Modular frameworks for crop modelling have evolved through simultaneous progress in crop science and software development but differences among these frameworks exist which are not well understood, resulting in potential misuse for crop modelling. In this paper we review differences and similarities among different developed frameworks and identify some implications for crop modelling. We consider three modelling frameworks currently used for crop modelling: CROSPAL (CROp Simulator: Picking and Assembling Libraries), APES (Agricultural Production and Externalities Simulator) and APSIM (Agricultural Production Systems sIMulator). The frameworks are implemented differently and they provide more or less flexibility and guidance, to facilitate assembly of crop model from model components. We underline the importance of systematic approaches to facilitate the selection of appropriate model structure and derive suggestions to facilitate it. We particularly stress the need for better documentation of the underlying assumptions of the modules on simulated processes and on the criteria applied in the selection of these modules for a particular simulation objective. Such documentation should help to point out the sources of uncertainties associated with the development of crop models and to reinforce the role of the crop modeller as an intermediary between the software engineer, coding the modules, and the end users, agronomists or crop physiologists using the model for a specific objective. Finally, the key contributions of modelling frameworks in the crop modelling domain are discussed and we draw conclusions for the prospects of such frameworks in the crop modelling field which should continue to reside on the principles of systems analysis but combined with up-to-date advances in software engineering techniques. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Model structure Uncertainty software design patterns Good modelling practices Crop growth and development

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ADAPTING THE software design PATTERN MODEL FOR AI-ENABLED design COMPUTING 29th

ADAPTING THE SOFTWARE DESIGN PATTERN MODEL FOR AI-ENABLED DE...

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29th International Conference of the Association-for-Computer-Aided-Architectural-design-Research-in-Asia (CAADRIA)

作者： Kimm, Geoff White, Marcus Burry, Mark Swinburne Univ Technol Hawthorn Vic 3122 Australia

ISBN: (纸本)9789887891819

Exponential AI development requires an adaptation to new technology by traditionally reluctant architects and allied practitioners. This paper examines the potential of the software design pattern (SDP) model, used in software engineering to capture and reapply designs, as one underpinning. patterns have creativity and pedagogical benefits in parametric modelling, yet consideration of AI and broader design computing as well as the derivation and versatility implied by an SDP model are underexamined. This research questions how, in an AI context, new patterns may evolve for varied AI levels and non-geometrical features. It is undertaken in the Unity game engine with critical application of two prominent extant patterns as a computational workflow design response to a real-world citizen engagement scenario. A novel, feature-agnostic pattern is derived with a simple AI model and is verified for other AI models. The work concludes design computing patterns can abstract existing pattern knowledge to flexibly evolve and apply across rapidly changing AI-enabled design computing contexts and thereby assist practitioners to positively respond to AI advances.

关键词： Artificial Intelligence Computational design software design patterns Architectural Practice Unity 3D Intelligent Agents

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software design Pattern Recognition using Machine Learning Techniques

Software Design Pattern Recognition using Machine Learning T...

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IEEE Region 10 Conference (TENCON)

作者： Dwivedi, Ashish Kumar Tirkey, Anand Ray, Ransingh Biswajit Rath, Santanu Kumar Natl Inst Technol Dept Comp Sci & Engn Rourkela 769008 Odisha India

ISBN: (纸本)9781509025978

design patterns helpful for software development are the reusable abstract documents which provide acceptable solutions for the recurring design problems. But in the process of reverse engineering, it is often desired to identify as well as recognize design pattern from source code, as it improves maintainability and documentation of the source code. In this study, the process of software design pattern recognition is presented which is based on machine learning techniques. Firstly, a training dataset is developed which is based on software metrics. Subsequently, machine learning algorithms such as Layer Recurrent Neural Network and Decision Tree are applied for patterns detection process. In order to evaluate the proposed study, an open source software i.e., JHotDraw 7.0.6 has been used for the recognition of design patterns.

关键词： software design patterns design Pattern Recognition Machine Learning Object-Oriented Metrics

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Measuring design Compliance using Neural Language Models: An Automotive Case Study 18

Measuring Design Compliance using Neural Language Models: An...

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18th ACM International Conference on Predictive Models and Data Analytics in software Engineering (PROMISE)

作者： Parthasarathy, Dhasarathy Ekelin, Cecilia Karri, Anjali Sun, Jiapeng Moraitis, Panagiotis Volvo Grp Gothenburg Sweden Chalmers Univ Technol Gothenburg Sweden

ISBN: (纸本)9781450398602

As the modern vehicle becomes more software-defined, it is beginning to take significant effort to avoid serious regression in software design. This is because automotive software architects rely largely upon manual review of code to spot deviations from specified design principles. Such an approach is both inefficient and prone to error. In recent days, neural language models pre-trained on source code are beginning to be used for automating a variety of programming tasks. In this work, we extend the application of such a Programming Language Model (PLM) to automate the assessment of design compliance. Using a PLM, we construct a system that assesses whether a set of query programs comply with Controller-Handler, a design pattern specified to ensure hardware abstraction in automotive control software. The assessment is based upon measuring whether the geometrical arrangement of query program embeddings, extracted from the PLM, aligns with that of a set of known implementations of the pattern. The level of alignment is then transformed into an interpretable measure of compliance. Using a controlled experiment, we demonstrate that our technique determines compliance with a precision of 92%. Also, using expert review to calibrate the automated assessment, we introduce a protocol to determine the nature of the violation, helping eventual refactoring. Results from this work indicate that neural language models can provide valuable assistance to human architects in assessing and fixing violations in automotive software design.

关键词： neural programming language models language model evaluation software design patterns

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design Pattern Recognition by Using Adaptive Neuro Fuzzy Inference System

Design Pattern Recognition by Using Adaptive Neuro Fuzzy Inf...

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25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

作者： Alhusain, Sultan Coupland, Simon John, Robert Kavanagh, Maria De Montfort Univ Ctr Computat Intelligence Leicester Leics England Univ Nottingham Automated Scheduling Optimisat & Planning ASAP Gr Nottingham England Emerald Hill Ltd Leicester Leics England

ISBN: (纸本)9781479929719

software design patterns describe recurring design problems and provide the essence of best practice solutions. It is useful and important, for various software engineering tasks, to know which design pattern is implemented where in a software design. However, this information is often lost due to poor or absent documentation, and so accurate recognition tools are required. The problem is that design patterns, given their abstract and vague nature, have a level of resistance to be automatically and accurately recognized. Although this vagueness or fuzziness can be captured and modelled by the fuzzy inference system, it has not yet been applied to solve this problem. This paper fills this gap by proposing an approach for design pattern recognition based on Adaptive Neuro Fuzzy Inference System. Our approach consists of two phases: space reduction phase and design pattern recognition phase. Both phases are implemented by ANFIS. We evaluate the approach by an experiment conducted to recognize six design patterns in an open source application. The results show that the approach is viable and promising.

关键词： software design patterns machine learning pattern recognition ANFIS

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