2011 Malaysian Conference in Software Engineering最新文献_第8页

Reduce fault density for top 3 requirement faults 降低前3位需求故障的故障密度

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140635

Roslina A Rahman

{"title":"Reduce fault density for top 3 requirement faults","authors":"Roslina A Rahman","doi":"10.1109/MYSEC.2011.6140635","DOIUrl":"https://doi.org/10.1109/MYSEC.2011.6140635","url":null,"abstract":"The earliest phase of a software development life cycle is requirement engineering. This phase consists of eliciting, analyzing, documenting, and validating requirements from users/customers by business analyst. Activities in this phase are recognized as a crucial activity as it can incur high cost if correction is to be done at a later stage. In reducing requirement errors, MIMOS take the initiatives by introducing process performance metrics to optimize the quality of requirement engineering. Data of requirement process performance metric from 13 medium skills of projects developed in year 2008 was collected and analyzed. Results showed that the errors can be categorized into 3 requirement faults type; missing, incomplete and incorrect requirement. The errors captured impacted the overall performance for In-Process-Faults (IPF) requirement averaging at 0.26 faults/page for the top 3 faults. In 2009, requirement process performance aim to reduce the faults density from 0.26 faults/page to 0.19 faults/page for the top 3 requirement faults. Based on data from 2008, Causal Analysis and Resolution (CAR) was executed and proposed solution was identified. 6 medium skill projects were selected to execute the proposed solutions. These projects are being control and monitored to meet the goal set as well as to improve the quality of requirement engineering process.","PeriodicalId":137714,"journal":{"name":"2011 Malaysian Conference in Software Engineering","volume":"129 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116257022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Expert-based decision support framework for software reengineering 基于专家的软件再造决策支持框架

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140692

Rahma A. Kamaludeen, S. Sulaiman, Y. Cheah

引用次数: 2

From uni-directional model transformation to incremental model synchronization 从单向模型转换到增量模型同步

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140649

Fatemeh Hassani, Kavan Sedighiani, F. S. Aliee, A. Angabini

引用次数: 2

An hybrid model through the fusion of sensitivity based linear learning method and type-2 fuzzy logic systems for modeling PVT properties of crude oil systems 将基于灵敏度的线性学习方法与二类模糊逻辑系统相融合，建立了原油系统PVT特性建模的混合模型

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140697

S. Olatunji, A. Selamat, A. Raheem

{"title":"An hybrid model through the fusion of sensitivity based linear learning method and type-2 fuzzy logic systems for modeling PVT properties of crude oil systems","authors":"S. Olatunji, A. Selamat, A. Raheem","doi":"10.1109/MYSEC.2011.6140697","DOIUrl":"https://doi.org/10.1109/MYSEC.2011.6140697","url":null,"abstract":"Sensitivity based linear learning method (SBLLM) has recently been used as predictive tool due to its unique characteristics and performance, particularly its high stability and consistency during predictions. However, the generalization capability of SBLLM is sometimes limited depending on the nature of the dataset, particularly on whether uncertainty is present in the dataset or not. In order to reduce the effects of uncertainties in SBLLM prediction and improve its generalization ability, this paper proposes a hybrid system through the unique combination of type-2 fuzzy logic systems (type-2 FLS) and SBLLM; thereafter the hybrid system was used to model PVT properties of crude oil systems. In the proposed hybrid, the type-2 FLS is used to handle uncertainties in reservoir data so that the final output from the type-2 FLS is then passed to the SBLLM for training and then final prediction using testing dataset follows. Comparative studies have been carried out to compare the performance of the proposed T2-SBLLM hybrid system with each of the constituent type-2 FLS and SBLLM. Empirical results from simulation show that the proposed T2-SBLLM hybrid model greatly improved upon the performance of SBLLM.","PeriodicalId":137714,"journal":{"name":"2011 Malaysian Conference in Software Engineering","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123783718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

XMCCTree: An algorithm for producing Mcctree in incompact structure xmctree:一种生成非紧结构mctree的算法

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140700

U. S. Sazaly, M. Selamat, S. Baharom, M. Jabar

引用次数: 0

Applying particle swarm optimization to software performance prediction an introduction to the approach 介绍了粒子群算法在软件性能预测中的应用

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140670

Adil A. A. Saed, W. Kadir

{"title":"Applying particle swarm optimization to software performance prediction an introduction to the approach","authors":"Adil A. A. Saed, W. Kadir","doi":"10.1109/MYSEC.2011.6140670","DOIUrl":"https://doi.org/10.1109/MYSEC.2011.6140670","url":null,"abstract":"Component-Based System (CBS) is an approach to build applications from deployed components. It provides efficiency, reliability, maintainability. The challenge of interpreting the results of performance analysis and generate alternative design to build component system is quite critical in the software performance domain. Although, many approaches have been proposed and were successfully applied to predict software performance, still span of design space hinder the selection of the appropriate design alternative. Meta-heuristics such as Genetic Algorithms (GA) methods have proven its usefulness to solve the problem even with multi-degree of freedom. But, in recent investigations Particle Swarm Optimization (PSO), an alternative search technique, often outperformed GA when applied to various problems. In this paper we describe performance prediction approach based on PSO for component-Based system development. The proposed approach aids developers to effectively trades-off between architectural designs alternatives. Boundary search technique and PSO are used to provoke more efficient results. To the best of our knowledge we are the first who employ PSO in software performance prediction. Outlines of our approach are presented and a case study applied using GA is described to be used by our approach for validation. This paper has concluded that, PSO technique can be used to effectively generate alternatives in spanned design space and facilitate the design decision during the development process.","PeriodicalId":137714,"journal":{"name":"2011 Malaysian Conference in Software Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128286573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Efficient prediction of software fault proneness modules using support vector machines and probabilistic neural networks 基于支持向量机和概率神经网络的软件故障倾向模块有效预测

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140679

Hamdi A. Al-Jamimi, L. Ghouti

引用次数: 25

An analytical approach for project managers in effective defect management in software process 为项目经理在软件过程中进行有效的缺陷管理提供了一种分析方法

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MySEC.2011.6140669

T.R.Gopalakrishnan Nair, V. Suma, N. R. S. Kumar

引用次数: 8

A comparison of software reuse in software development communities 软件开发社区中软件重用的比较

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140690

Meena Jha, L. O'Brien

{"title":"A comparison of software reuse in software development communities","authors":"Meena Jha, L. O'Brien","doi":"10.1109/MYSEC.2011.6140690","DOIUrl":"https://doi.org/10.1109/MYSEC.2011.6140690","url":null,"abstract":"Software reuse has been regarded as one of the most important areas for improving software development productivity and the quality of software. Research and practice has shown that software reuse can be used for developing products from reusable assets in a routine manner, on an industrial scale. However successful application of software reuse is limited to certain domains and not widespread across the software industry. There is no clear consensus between input and, output artifacts and the requirements that an effective reuse process must have. To examine the issues and concerns in more detail we have completed surveys on software reuse in the conventional software engineering (CSE) community and in the software product line (SPL) community to compare and contrast the results for similarities and differences in software reuse philosophy. This paper outlines some of the identified differences and similarities of issues and concerns in software reuse in both communities and what one community can gain from the other to overcome the identified software reuse problems. The comparison highlights areas where the existing SPL and CSE communities provide extensive support in software reuse and those in which the SPL and CSE communities are deficient, suggesting an understanding of the factors resisting software reuse in both communities.","PeriodicalId":137714,"journal":{"name":"2011 Malaysian Conference in Software Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114180603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

An agent-based model of muscle contraction process as a bio-robotic process 基于智能体的肌肉收缩过程生物机器人模型

2011 Malaysian Conference in Software Engineering Pub Date : 2011-12-01 DOI: 10.1109/MYSEC.2011.6140643

H. Khataee, T. N. M. Aris, M. Sulaiman

{"title":"An agent-based model of muscle contraction process as a bio-robotic process","authors":"H. Khataee, T. N. M. Aris, M. Sulaiman","doi":"10.1109/MYSEC.2011.6140643","DOIUrl":"https://doi.org/10.1109/MYSEC.2011.6140643","url":null,"abstract":"This paper introduces a new computational methodology to model muscle contraction process as a bio-robotic process using agent technology. In this work, we have focused on muscle myosin nanomotor as the driven motor of muscles and introduced the nanomotor as a physical intelligent agent. Then, the mechanism of the nanomotor was specified using subsumption architecture of agent technology and modeled with the Finite State Machine (FSM) diagram of Unified Modeling Language (UML). The proposed agent-based FSM model of the mechanism of muscle myosin nanomotor illustrated the internal intelligent and autonomous decision-making process of the nanomotor as a robot mechanism. In order to verify the proposed agent-based FSM model of the mechanism of the nanomotor, we developed its mathematical definitions (its Deterministic Finite Automaton (DFA) and grammar) and compared them with the natural behavior of the nanomotor inside the muscle cells. The comparison results indicated that the mechanism of muscle myosin nanomotor could be defined as a robot mechanism with its inputs, internal decision-making process, and outputs. As muscle contraction process is a set of the mechanisms of muscle myosin nanomotors, our proposed agent-based model of the mechanism of the nanomotor can introduce muscle contraction process as a general bio-robotic process.","PeriodicalId":137714,"journal":{"name":"2011 Malaysian Conference in Software Engineering","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116373911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5