Towards a Formal Model for Optimal Task-Site Allocation and Effort Estimation in Global Software Development

2012 ◽  
Author(s):  
Nanjangud C. Narendra ◽  
Karthikeyan Ponnalagu ◽  
Nianjun Zhou ◽  
Wesley M. Gifford
Keyword(s):  
Software Development ◽  
Formal Model ◽  
Global Software Development ◽  
Effort Estimation ◽  
Site Allocation

scholarly journals Effort estimation in global software development - a systematic review

2017 ◽  
Vol 14 (2) ◽  
pp. 393-421 ◽  
Author(s):  
Dilani Wickramaarachchi ◽  
Richard Lai
Keyword(s):  
Systematic Review ◽  
Software Development ◽  
Global Software Development ◽  
Effort Estimation ◽  
Research Issues ◽  
Open Research ◽  
Development Teams ◽  
The World ◽  
Software Development Teams ◽  
Estimation Models

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 caused by the distance which separates the development teams. Coordination and communication become more difficult when the software development teams are located in different places, resulting in hidden costs involved in this process. As such, the effort estimation models used for collocated software development are inadequate for estimation in GSD. Thus, effort estimation in GSD is becoming an important area of research. Many researchers have focused on effort estimation in GSD over the last decade. This paper presents the findings of a systematic review of the related literature by summarizing the hidden costs in GSD, and discussing the open research issues in effort estimation in GSD.

scholarly journals Estimating Software Development Efforts Using a Random Forest-Based Stacked Ensemble Approach

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1195
Author(s):  
Priya Varshini A G ◽  
Anitha Kumari K ◽  
Vijayakumar Varadarajan
Keyword(s):  
Deep Learning ◽  
Random Forest ◽  
Software Development ◽  
Weighted Averaging ◽  
Software Project ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Single Model ◽  
Ensemble Techniques ◽  
Project Estimation

Software Project Estimation is a challenging and important activity in developing software projects. Software Project Estimation includes Software Time Estimation, Software Resource Estimation, Software Cost Estimation, and Software Effort Estimation. Software Effort Estimation focuses on predicting the number of hours of work (effort in terms of person-hours or person-months) required to develop or maintain a software application. It is difficult to forecast effort during the initial stages of software development. Various machine learning and deep learning models have been developed to predict the effort estimation. In this paper, single model approaches and ensemble approaches were considered for estimation. Ensemble techniques are the combination of several single models. Ensemble techniques considered for estimation were averaging, weighted averaging, bagging, boosting, and stacking. Various stacking models considered and evaluated were stacking using a generalized linear model, stacking using decision tree, stacking using a support vector machine, and stacking using random forest. Datasets considered for estimation were Albrecht, China, Desharnais, Kemerer, Kitchenham, Maxwell, and Cocomo81. Evaluation measures used were mean absolute error, root mean squared error, and R-squared. The results proved that the proposed stacking using random forest provides the best results compared with single model approaches using the machine or deep learning algorithms and other ensemble techniques.

Towards Efficient and Secure Global Software Development using Blockchain

2020 ◽  
Author(s):  
Muhammad Azeem Akbar ◽  
Ahmad Al-Sanad ◽  
Abeer AbdulAziz AlSanad ◽  
Abdu Ghmaei ◽  
Muhammad Shafiq ◽  
...  
Keyword(s):  
Software Development ◽  
Global Software Development
Sign in / Sign up

Export Citation Format

Share Document