{"_buckets": {"deposit": "fad2da8a-cb3e-4f28-b6a6-ab402d4adb4e"}, "_deposit": {"id": "4589", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4589"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4589", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Application of neural networks for software quality prediction using object-oriented metrics", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper presents the application of neural networks in software quality estimation using object-oriented metrics. In this paper,two kinds of investigation are performed. The first on predicting the number of defects in a class and the second on predicting thenumber of lines changed per class. Two neural network models are used, they are Ward neural network and General Regressionneural network (GRNN). Object-oriented design metrics concerning inheritance related measures, complexity measures, cohesionmeasures, coupling measures and memory allocation measures are used as the independent variables. GRNN network model isfound to predict more accurately than Ward network model."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-03-16"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Application of Neural Networks for Software Quality Prediction using Object-Oriented Metrics.pdf", "filesize": [{"value": "116 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 116000.0, "url": {"url": "https://meral.edu.mm/record/4589/files/Application of Neural Networks for Software Quality Prediction using Object-Oriented Metrics.pdf"}, "version_id": "36bb0335-e554-46e0-9914-6c3a5408ddc0"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Journal of Systems and Software", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Thwin, Mie Mie Thet"}, {"subitem_authors_fullname": "Quah, Tong Seng"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2005-05"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "0164-1212"}, "item_title": "Application of neural networks for software quality prediction using object-oriented metrics", "item_type_id": "21", "owner": "1", "path": ["1597824175385"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004589", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-16"}, "publish_date": "2020-03-16", "publish_status": "0", "recid": "4589", "relation": {}, "relation_version_is_last": true, "title": ["Application of neural networks for software quality prediction using object-oriented metrics"], "weko_shared_id": -1}