Reasoning Engine for Support Maintenance

Author(s):  
Rana Farah ◽  
Simon Hallé ◽  
Jiye Li ◽  
Freddy Lécué ◽  
Baptiste Abeloos ◽  
...  
Keyword(s):  
2014 ◽  
Vol 3 (2) ◽  
pp. 143-152 ◽  
Author(s):  
Naresh Babu Bynagari

This article seeks to foray into the nitty-gritty of integrated reasoning for code clone detection and how it is effectively carried out, given the amount of analytics usually associated with such activities. Detection of codes requires high-pitch familiarity with cloning systems and their workings. Hence, discovering similar code segments that are often regarded and seen as code imitations (clone) is not an easy responsibility. More especially, this very detection process might possess key purposes in the context of susceptibility findings, refactoring, and imitation detecting. Through the voyage of discovery this article intends to expose you to, you will realize that identical code segments, more often than not described as code clones, appear to be a serious duty, especially for large code bases <1; 2; 3; 4>. There are certain approaches and deep technicalities that this sort of detection is known for. Still, from the avalanche of resources that formed the bedrock of this article, one would discover the easiest formula to adopt in maneuvering such strenuous issues.


Author(s):  
Alexander Pokahr ◽  
Lars Braubach ◽  
Winfried Lamersdorf
Keyword(s):  

1991 ◽  
pp. 175-186
Author(s):  
Rajiv S. Desai ◽  
Rajkumar S. Doshi ◽  
Raymond K. Lam

Author(s):  
Tanapon Tantisripreecha ◽  
Ken Satoh ◽  
Nuanwan Soonthornphisaj

2010 ◽  
Vol 139-141 ◽  
pp. 1044-1047
Author(s):  
Yi Wang

Mould-repair is an important task in the mould production and depends especially upon the experience of the engineer. It is much full of subjectivity and uncertainty. How to find the knowledge of mould repair and establish the mould repair solving project is an important problem for all the injection mould manufacturers in the industry. Using the Bayesian networks reasoning to help the technician establish the mould-repair solving project was put forward. The mould-repair Bayesian networks (MRBN) reasoning model was established according to the characteristic of mould-repair solving project. The reason control tactic of the process plan system and the reasoning engine of MRBN were designed. The application example about the shrinkage, ill-full injection, gas-obstructed is presented to prove the correctness of the method. The conclusion shows that it can help the engineers analyze the cause of problem well and recommend some more useful solutions.


2018 ◽  
Vol 19 (2) ◽  
pp. 317-359 ◽  
Author(s):  
CHRISTOS T. RODOSTHENOUS ◽  
LOIZOS MICHAEL

AbstractWe present Web-STAR, an online platform for story understanding built on top of the STAR reasoning engine for STory comprehension through ARgumentation. The platform includes a web-based integrated development environment, integration with the STAR system, and a web service infrastructure to support integration with other systems that rely on story understanding functionality to complete their tasks. The platform also delivers a number of “social” features, including a community repository for public story sharing with a built-in commenting system, and tools for collaborative story editing that can be used for team development projects and for educational purposes.


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