Test Effort Estimation Based Upon Neural Fuzzy Model (Record no. 14249)
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| 000 -LEADER | |
|---|---|
| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210210142417.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210210b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13259 |
| Author | Chahar, Vikas |
| 245 ## - TITLE STATEMENT | |
| Title | Test Effort Estimation Based Upon Neural Fuzzy Model |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol 6 (1), Jan-Apri |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | STM Journals |
| Year | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 76-85p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Estimating test development effort is an important task in the management of large software projects. The task is challenging and it has been receiving the attentions of researchers ever since software was developed for commercial purpose. A number of estimation models exist for effort prediction. However, there is a need for neural model to obtain more accurate estimations. The primary purpose of this study is to propose a precise method of estimation by selecting the most popular models in order to improve accuracy. In this paper, we explore the use of soft computing techniques to build a suitable model structure to utilize improved estimation of software effort; a comparison between neural network (NN) and neural fuzzy model; and the evaluation criteria are based upon MRE and MMRE. Consequently, the final results are very precise and reliable when they are applied to a real dataset in a software project. The results show that NF is effective in effort estimation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13260 |
| Co-Author | Bhatia, Pradeep Kumar |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Noida STM Journals |
| Title | Journal of artificial intelligence research and advances (JoAIRA) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | http://computers.stmjournals.com/index.php?journal=JoAIRA&page=article&op=view&path%5B%5D=2014 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 10/02/2021 | 2021-2021470 | 10/02/2021 | 10/02/2021 | Articles Abstract Database |