Systematic Review Study of Decision Trees based Software Development Effort Estimation
نویسندگان
چکیده
منابع مشابه
Effort estimation in global software development - a systematic review
Global Software Development (GSD) is becoming increasingly prevalent, with software development teams being distributed around the world and working in collaboration with partner companies despite geographic and time differences. The main advantage of GSD which makes it attractive is the greater availability of human resources at lower costs. However, there are several disadvantages which are c...
متن کاملSoftware Development Effort Estimation: A Review
Software development effort estimation is the process of calculating the effort required to develop or maintain software based on the input, which is partial, tentative and/or strident. Efficient project estimation is one of the most difficult and significant activities in project development. “Effort Estimation” is supposed to be fateful because of infrequency, uniqueness, underestimation bias...
متن کاملAn Improved Algorithmic Method for Software Development Effort Estimation
Accurate estimating is one of the most important activities in the field of software project management. Different aspects of software projects must be estimated among which time and effort are of significant importance to efficient project planning. Due to complexity of software projects and lack of information at the early stages of project, reliable effort estimation is a challenging issue. ...
متن کاملAn Improved Algorithmic Method for Software Development Effort Estimation
Accurate estimating is one of the most important activities in the field of software project management. Different aspects of software projects must be estimated among which time and effort are of significant importance to efficient project planning. Due to complexity of software projects and lack of information at the early stages of project, reliable effort estimation is a challenging issue. ...
متن کاملSystematic literature review of machine learning based software development effort estimation models
Context: Software development effort estimation (SDEE) is the process of predicting the effort required to develop a software system. In order to improve estimation accuracy, many researchers have proposed machine learning (ML) based SDEE models (ML models) since 1990s. However, there has been no attempt to analyze the empirical evidence on ML models in a systematic way. Objective: This researc...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2020
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2020.0110767