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RESEARCH PROJECT PN-II-RU-TE-2014-4-0082

MACHINE LEARNING FOR SOLVING SOFTWARE MAINTENANCE AND EVOLUTION PROBLEMS

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Project team
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2015- Unique phase

Objectives Activities Accomplishment Deadline Expected results
1. Development of new classification algorithms (SOM, fuzzy SOM, fuzzy RAR) for identifying entities with defects in software systems (PARTIALLY ACCOMPLISHED in 2015) 1.1. Conducting a literature review to identify current results in the direction of detecting software entities with defects TOTAL December 31, 2015
  1. The project's website
  2. Research report containing the computational models developed for identifying the defective software entities
1.2 Elaborating a computational model for the problem of detecting software entities with defects TOTAL
1.3. Developing classification techniques (SOM, fuzzy SOM, fuzzy RAR) for the purpose of detecting software entities with defects (PARTIALLY ACCOMPLISHED in 2015) TOTAL
1.4. Experimentally evaluating our developed techniques and comparing them to existing approaches (PARTIALLY ACCOMPLISHED in 2015) TOTAL
1.5. Partial dissemination of our obtained results TOTAL
2. Beginning the development of the AMEL integrated software system. 2.1. Designing the AMEL system, taking its incremental development process into account TOTAL
2.2. Adding the functionality for detecting software entities with defects into the AMEL system TOTAL
3. Project management 3.1. Administrative organization of the research team TOTAL
3.2. Acquiring the necessary materials and creating the project's website, where we will disseminate our results TOTAL
Design downloaded from free website templates.