Research on case retention strategy for industrial case-based reasoning (CBR) system: A practical case study

2012 ◽  
Author(s):  
Ping Zhou ◽  
Wei-Da Yin ◽  
Jin-Hui Zhao
Keyword(s):  
Case Based Reasoning ◽  
Practical Case ◽  
Retention Strategy ◽  
System A ◽  
Case Based

Web Development Effort Estimation

2011 ◽  
pp. 26-56 ◽  
Author(s):  
Emilia Mendes ◽  
Silvia Abrahão
Keyword(s):  
Multivariate Regression ◽  
Project Managers ◽  
Case Based Reasoning ◽  
Development Effort ◽  
Web Development ◽  
Effort Estimation ◽  
Estimation Techniques ◽  
Classification And Regression ◽  
Case Based

Effort models and effort estimates help project managers allocate resources, control costs and schedule, and improve current practices, leading to projects that are finished on time and within budget. In the context of Web development and maintenance, these issues are also crucial, and very challenging, given that Web projects have short schedules and a highly fluidic scope. Therefore, the objective of this chapter is to introduce the concepts related to Web effort estimation and effort estimation techniques. In addition, this chapter also details and compares, by means of a case study, three effort estimation techniques, chosen for this chapter because they have been to date the ones mostly used for Web effort estimation: Multivariate regression, Case-based reasoning, and Classification and Regression Trees. The case study uses data on industrial Web projects from Spanish Web companies.

Improved similarity measure in case-based reasoning: a case study of construction cost estimation

2019 ◽  
Vol 27 (2) ◽  
pp. 561-578 ◽  
Author(s):  
Won-Gil Hyung ◽  
Sangyong Kim ◽  
Jung-Kyu Jo
Keyword(s):  
Cost Estimation ◽  
Hybrid Approach ◽  
Optimal Solution ◽  
Case Based Reasoning ◽  
Optimization Approach ◽  
Cost Information ◽  
Planning Stage ◽  
Content Type ◽  
Case Based

Purpose Applied a hybrid approach using genetic algorithms (GAs) for a case-based retrieval process in order to increase the overall improved cost accuracy for a case-based library. The paper aims to discuss this issue. Design/methodology/approach A weight optimization approach using case-based reasoning (CBR) with proposed GAs for developing the CBR model. GAs are used to investigate optimized weight generation with an application to real project cases. Findings The proposed CBR model can reduce errors consistently, and be potentially useful in the early financial planning stage. The authors suggest the developed CBR model can provide decision-makers with accurate cost information for assessing and comparing multiple alternatives in order to obtain the optimal solution while controlling cost. Originality/value The system can operate with more accuracy or less cost, and CBR can be used to better understand the effects of factor interaction and variation during the developed system’s process.

Web Effort Estimation Using Case-Based Reasoning

2008 ◽  
pp. 158-202
Author(s):  
Emilia Mendes
Keyword(s):  
Prediction Accuracy ◽  
Early Stage ◽  
Real Data ◽  
Project Managers ◽  
Case Based Reasoning ◽  
Effort Estimation ◽  
Software Projects ◽  
Software Practitioners ◽  
Case Based

Software practitioners recognise the importance of realistic effort estimates to the successful management of software projects, the Web being no exception. Having realistic estimates at an early stage in a project’s life cycle allow project managers and development organisations to manage resources effectively. Several techniques have been proposed to date to help organisations estimate effort for new projects. One of these is a machine-learning technique called case-based reasoning. This chapter presents a case study that details step by step, using real data from completed industrial Web projects, how to obtain effort estimates using case-based reasoning, and how to assess the prediction accuracy of this technique. The reason to describe the use of case-based reasoning for effort estimation is motivated by its previous use with promising results in Web effort estimation studies.

Applying a case-based reasoning method for fault diagnosis during maintenance

2009 ◽  
Vol 223 (10) ◽  
pp. 2431-2441 ◽  
Author(s):  
Y-T Tsai
Keyword(s):  
Fault Diagnosis ◽  
Flow Analysis ◽  
Fault Tree Analysis ◽  
Case Based Reasoning ◽  
Web Based ◽  
Information Flow Analysis ◽  
Microsoft Access ◽  
System A ◽  
Moulding Machine ◽  
Case Based

The development of a fault-diagnosis system (FDS) could be helpful in identifying the source of faults before the occurrence of complete system failure. Here we report on such a diagnostic procedure for narrowing down maintenance tasks and shortening system downtime. A web-based FDS is developed based on case-based reasoning (CBR) from previous maintenance experience, for an injection moulding machine (IMM). The techniques of fault tree analysis (FTA) and information flow analysis are introduced to systematically clarify possible faults and symptoms shown by a system. A logical process is introduced to determine the correlation between the possible faults and the symptoms for computing case similarity while progressing CBR diagnosing. Some frontpages are developed for the CBR diagnosis using an ASP program in cooperation with a Microsoft Access database. The resultant FDS achieves good results with the potential for supporting remote IMM maintenance.

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