scholarly journals Delta Analyzer: Tool-based Evaluation of Modified Requirements for an Efficient Development Effort Estimation in the RFQ Process

2019 ◽  
Author(s):  
Konstantin Zichler ◽  
Felix Ritter ◽  
Aaron Schul ◽  
Steffen Helke
Keyword(s):  
Development Effort ◽  
Effort Estimation

Methods for Software Complexity and Development Effort Estimation and its Importance in the Area of ICT Governance

2011 ◽  
pp. 117-147
Author(s):  
Zdenek Struska ◽  
Jirí Vanícek ◽  
Martin Závodný
Keyword(s):  
Object Relation ◽  
Lead Author ◽  
Development Effort ◽  
Effort Estimation ◽  
Computation Procedure ◽  
Software Complexity ◽  
Grass Roots ◽  
Expert Estimation ◽  
Cocomo Model ◽  
Set Up

The area of applications development for government purposes can be characterized to be task specific. In this context, development projects are usually more complex and there are some differences in comparison with commercial projects. The mission of the proposed chapter is an explanation of methods of project complexity evaluation based on analogy, crisp and fuzzy expert estimation and measure models. The selected methods for aggregation of expert’s estimations are also presented. Further the chapter introduces selected methods designed for complexity estimation. All the introduced methods are widely known except one that was designed by the lead author of the chapter. The method is called BORM Points and is developed for an IS project designed in BORM method (Business Object Relation Modeling). Each method is introduced first, then its step-by-step computation procedure is described and finally suggestion of software, which is supported method computation procedure. The results of the methods are in non-dimensional numbers and it is necessary to set up the relationship between complexity and effort, and introduces COCOMO model and its variants. Efforts are given about the implementation of this form of estimation approach in the area of ICT governance, especially at the grass roots e-governance.

The Application of Meta-Heuristic Algorithms to Improve the Performance of Software Development Effort Estimation Models

2015 ◽  
Vol 6 (4) ◽  
pp. 39-68 ◽  
Author(s):  
Maryam Hassani Saadi ◽  
Vahid Khatibi Bardsiri ◽  
Fahimeh Ziaaddini
Keyword(s):  
Software Development ◽  
Optimization Algorithms ◽  
Heuristic Optimization ◽  
Development Effort ◽  
Special Role ◽  
Effort Estimation ◽  
Software Projects ◽  
Software Development Effort ◽  
Estimation Models ◽  
Software Development Effort Estimation

One of the major activities in effective and efficient production of software projects is the precise estimation of software development effort. Estimation of the effort in primary steps of software development is one of the most important challenges in managing software projects. Some reasons for these challenges such as: discordant software projects, the complexity of the manufacturing process, special role of human and high level of obscure and unusual features of software projects can be noted. Predicting the necessary efforts to develop software using meta-heuristic optimization algorithms has made significant progressions in this field. These algorithms have the potent to be used in estimation of the effort of the software. The necessity to increase estimation precision urged the authors to survey the efficiency of some meta-heuristic optimization algorithms and their effects on the software projects. To do so, in this paper, they investigated the effect of combining various optimization algorithms such as genetic algorithm, particle swarm optimization algorithm and ant colony algorithm on different models such as COCOMO, estimation based on analogy, machine learning methods and standard estimation models. These models have employed various data sets to evaluate the results such as COCOMO, Desharnais, NASA, Kemerer, CF, DPS, ISBSG and Koten & Gary. The results of this survey can be used by researchers as a primary reference.

Sign in / Sign up

Export Citation Format

Share Document