| Objectives |
Activities |
Accomplishment |
Deadline |
Expected results |
| 1. Development of new machine learning algorithms (clustering, fuzzy clustering, associ-ation rules, relational association rules) for identifying hidden dependencies in software systems (CONTINUED from 2016) |
1.1. Developing machine learning techniques (clustering, fuzzy clustering, association rules, relational association rules) for the purpose of identifying hidden dependencies |
TOTAL |
September 30, 2017 |
- Research report containing the computational models developed for identifying hidden dependencies in software systems
- Software module containing the developed computational models
- Research papers in journals and conferences
|
| 1.2 Experimentally evaluating our developed techniques and comparing them to existing approaches
|
TOTAL |
| 1.3 Adding the functionality for identifying hidden dependencies into the AMEL system
|
TOTAL |
| 2. Completing the AMEL software. |
2.1. Testing and final validation of the AMEL integrated software system |
TOTAL |
| 3. Project management |
3.1. Summary of the project’s scientific contributions |
TOTAL |
| 3.2. Writing the final report |
TOTAL |
| 3.3. Final results dissemination by publishing them |
TOTAL |
