{"_buckets": {"deposit": "cd71f777-377f-4933-af34-d714dd831db0"}, "_deposit": {"id": "4594", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4594"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4594", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Prediction of Software Readiness Using Neural Network", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "In this paper, we explore the behaviour of neuralnetwork in predicting software readiness. Our neural networkmodel aims to predict the number of faults (including objectoriented faults) of a software under development. We use Wardneural network that is a backpropagation network with differentactivation functions. Different activation functions are applied tohidden layer slabs to detect different features in a patternprocessed through a network. In our experiments, hyperbolictangent, Gaussian, Gaussian-complement and linear functions areused as activation functions to improve prediction. This paperalso compares the prediction results from multiple regressionmodel and neural network model. Object-oriented design metricsare used as the independent variables in our study. Our study isconducted on three industrial real-time systems that contain anumber of natural faults that has been reported over a period ofthree years."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Neural Networks"}, {"interim": "Object-oriented Design Metrics"}, {"interim": "QA in Software Development"}, {"interim": "Readiness"}, {"interim": "Reliability"}]}, "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": "Prediction of Software Readiness Using Neural Network.pdf", "filesize": [{"value": "66 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 66000.0, "url": {"url": "https://meral.edu.mm/record/4594/files/Prediction of Software Readiness Using Neural Network.pdf"}, "version_id": "306c0267-7e28-4bb2-8d09-431e2ba43dc9"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Proceedings of the First International Conference on Information Technology and Applications (ICITA 2002)", "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": "2002"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "1-86467-114-9"}, "item_title": "Prediction of Software Readiness Using Neural Network", "item_type_id": "21", "owner": "1", "path": ["1597824175385"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004594", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-16"}, "publish_date": "2020-03-16", "publish_status": "0", "recid": "4594", "relation": {}, "relation_version_is_last": true, "title": ["Prediction of Software Readiness Using Neural Network"], "weko_shared_id": -1}