NDLI logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2016)
  2. On the Terms Within- and Cross-Company in Software Effort Estimation
Loading...

Please wait, while we are loading the content...

Forecasting Communication Behavior in Student Software Projects
Estimating Story Points from Issue Reports
Search Based Training Data Selection For Cross Project Defect Prediction
On the Terms Within- and Cross-Company in Software Effort Estimation
Measuring the Stylistic Inconsistency in Software Projects using Hierarchical Agglomerative Clustering
An Empirical Evaluation of Distribution-based Thresholds for Internal Software Measures
Data Sets and Data Quality in Software Engineering: Eight Years On
Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload
Predicting the Popularity of GitHub Repositories
A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability

Similar Documents

...
How to make best use of cross-company data in software effort estimation?

Article

...
Can cross-company data improve performance in software effort estimation?

Article

...
A replicated comparison of cross-company and within-company effort estimation models using the ISBSG database

Article

...
Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models

Article

...
Cross-company and single-company effort models using the ISBSG database: a further replicated study

Article

...
The impact of parameter tuning on software effort estimation using learning machines

Article

...
A Comparison of Crosscompany and Within-company Effort Estimation Models for Web Applications (2004)

Article

...
Further comparison of cross-company and within-company effort estimation models for web applications.

Article

...
Further comparison of cross-company and within-company effort estimation models for Web applications

Article

On the Terms Within- and Cross-Company in Software Effort Estimation

Content Provider ACM Digital Library
Author Minku, Leandro L.
Abstract Background: the terms Within-Company (WC) and Cross-Company (CC) in Software Effort Estimation (SEE) have the connotation that CC projects are considerably different from WC projects, and that WC projects are more similar to the projects being estimated. However, as WC projects can themselves be heterogeneous, this is not always the case. Therefore, the use of the terms WC and CC has been questioned as potentially misleading and possibly unhelpful. Aims: to raise awareness of the SEE community in terms of the problems presented by the terms WC and CC, and to encourage discussions on the appropriateness of these terms. Method: existing literature on CC and WC SEE is discussed to raise evidence in favour and against the use of these terms. Results: existing evidence suggests that the terms WC and CC are helpful, because distinguishing between WC and CC projects can help the predictive performance of SEE models. However, due to their connotation, they can be misleading and potentially lead to wrong conclusions in studies comparing WC and CC SEE models. Conclusions: the issue being tackled when investigating WC and CC SEE is heterogeneity, and not the different origins of the software projects per se. Given that the terms WC and CC can be misleading, researchers are encouraged to discuss and consider the problems presented by these terms in SEE papers. Labelling projects as "potentially homogeneous" and "potentially heterogeneous" may be safer than directly labelling them as WC and CC projects.
Starting Page 1
Ending Page 4
Page Count 4
File Format PDF
ISBN 9781450347723
DOI 10.1145/2972958.2972968
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-09-09
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Cross-company effort estimation Transfer learning Machine learning Software effort estimation
Content Type Text
Resource Type Article
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
  • Chat with Us
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302
See location in the Map
03222 282435
Mail: support@ndl.gov.in
Sl. Authority Responsibilities Communication Details
1 Ministry of Education (GoI),
Department of Higher Education
Sanctioning Authority https://www.education.gov.in/ict-initiatives
2 Indian Institute of Technology Kharagpur Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project https://www.iitkgp.ac.in
3 National Digital Library of India Office, Indian Institute of Technology Kharagpur The administrative and infrastructural headquarters of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
4 Project PI / Joint PI Principal Investigator and Joint Principal Investigators of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
Prof. Saswat Chakrabarti  will be added soon
5 Website/Portal (Helpdesk) Queries regarding NDLI and its services support@ndl.gov.in
6 Contents and Copyright Issues Queries related to content curation and copyright issues content@ndl.gov.in
7 National Digital Library of India Club (NDLI Club) Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach clubsupport@ndl.gov.in
8 Digital Preservation Centre (DPC) Assistance with digitizing and archiving copyright-free printed books dpc@ndl.gov.in
9 IDR Setup or Support Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops idr@ndl.gov.in
I will try my best to help you...
Cite this Content
Loading...