A Pragmatic Framework for Component (Source Code) Retieval / (Record no. 615952)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01564nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.1,BIB |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bibi, Nazia |
| 9 (RLIN) | 4781 |
| 245 ## - TITLE STATEMENT | |
| Title | A Pragmatic Framework for Component (Source Code) Retieval / |
| Statement of responsibility, etc. | Nazia Bibi |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rawalpindi, |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxii, 296 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | In software development, the availability of useful and adaptable programming components<br/>or source codes is crucial. Traditional information retrieval techniques fall short in<br/>code search, as these require bridging the semantic gap between source code and natural<br/>language based queries for search. This dissertation tackles the challenge of code search<br/>in software development by offering a code retrieval framework that offers solutions based<br/>on ontologies, machine learning, and deep learning techniques. The proposed framework<br/>uses ontologies for source code search, a machine learning-based ranking schema, and<br/>advanced methods such as graph neural networks and Bi-LSTM-based neural attention.<br/>The evaluation results demonstrates the effectiveness of our approach through extensive<br/>experimentation with benchmark datasets to produce improved performance compared<br/>to existing methods. Based on our results, we can claim that software developers who<br/>want to speed up development and reduce the development cost can use the proposed<br/>framework. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Computer Software Engineering Thesis |
| 9 (RLIN) | 132801 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD CSE Thesis |
| 9 (RLIN) | 132802 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Tauseef Ahmed Rana |
| 9 (RLIN) | 132927 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 01/27/2026 | 005.1,BIB | MCSPhD CSE-24 | 01/27/2026 | 01/27/2026 | Thesis | Almirah No.68, Shelf No.6 |