An assistant for large scale software project management: Hybrid of agents and semantic web services

2008 ◽  
Author(s):  
Ali Habibi Badradabi ◽  
Shahriar Mohammadi
Keyword(s):  
Project Management ◽  
Web Services ◽  
Semantic Web ◽  
Large Scale ◽  
Semantic Web Services ◽  
Software Project ◽  
Software Project Management

scholarly journals Precomputing Datalog Evaluation Plans in Large-Scale Scenarios

2019 ◽  
Vol 19 (5-6) ◽  
pp. 1073-1089
Author(s):  
ALESSIO FIORENTINO ◽  
NICOLA LEONE ◽  
MARCO MANNA ◽  
SIMONA PERRI ◽  
JESSICA ZANGARI
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Large Scale ◽  
Semantic Web Services ◽  
Memory Usage ◽  
Memory Consumption ◽  
New Approach ◽  
Large Databases ◽  
Execution Times

AbstractWith the more and more growing demand for semantic Web services over large databases, an efficient evaluation of Datalog queries is arousing a renewed interest among researchers and industry experts. In this scenario, to reduce memory consumption and possibly optimize execution times, the paper proposes novel techniques to determine an optimal indexing schema for the underlying database together with suitable body-orderings for the Datalog rules. The new approach is compared with the standard execution plans implemented in DLV over widely used ontological benchmarks. The results confirm that the memory usage can be significantly reduced without paying any cost in efficiency.

Optimization Algorithms of PERT Network Diagram in Software Project Management System

2013 ◽  
Vol 321-324 ◽  
pp. 2056-2059
Author(s):  
Peng Wang
Keyword(s):  
Project Management ◽  
Large Scale ◽  
Software Project ◽  
Ant Colony Optimization Algorithm ◽  
Software Project Management ◽  
Project Management System ◽  
Project Assessment ◽  
Network Diagram ◽  
Manual Methods ◽  
Network Chart

The PERT network diagram optimization and the node layout optimization were studied in order to solve the difficulty of using manual methods to generate the PERT network chart in large-scale software project management. The new methods of optimization the node of PERT was proposed based on ant colony optimization algorithm (ACO) and genetic algorithms (GAs). The high adaptability and population optimization technology of GAs are discussed and also the ACO is introduced to realize the nodes layout global adjustment. In the end, calculation and simulation results show that the methods proposed can make the number of nodes of PERT network diagram generated automatically minimum. Meanwhile, it can make the layout of nodes of PERT network diagram more efficient and effective, so as to effectively solve the large-scale software project assessment problem.

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