{"title":"Automatic pattern-based consistency checking in model refactoring: introducing a formal behavioral preserving method","authors":"Saeedeh Ghaedi Heidari, Shohreh Ajoudanian","doi":"10.1007/s11334-022-00525-8","DOIUrl":"https://doi.org/10.1007/s11334-022-00525-8","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44532803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semantic role identification for Malayalam using machine learning approaches","authors":"J. P. Jayan, J. S. Kumar, T. Amudha","doi":"10.1007/s11334-022-00496-w","DOIUrl":"https://doi.org/10.1007/s11334-022-00496-w","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48479913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Hassan, S. Zaman, Swarnali Mollick, M. Hassan, M. Raihan, Chetna Kaushal, Rajat Bhardwaj
{"title":"An efficient Apriori algorithm for frequent pattern in human intoxication data","authors":"M. Hassan, S. Zaman, Swarnali Mollick, M. Hassan, M. Raihan, Chetna Kaushal, Rajat Bhardwaj","doi":"10.1007/s11334-022-00523-w","DOIUrl":"https://doi.org/10.1007/s11334-022-00523-w","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"69 16","pages":"1-9"},"PeriodicalIF":1.2,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41246332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A study of efficiency measurement of Jaipur metro mass transit system using data envelopment analysis","authors":"Pankaja Sharma, J. K. Jain, P. Kalla","doi":"10.1007/s11334-022-00511-0","DOIUrl":"https://doi.org/10.1007/s11334-022-00511-0","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"1 1","pages":"1-14"},"PeriodicalIF":1.2,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48150313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance analysis of supervised classification models on heart disease prediction","authors":"E. Ogundepo, W. B. Yahya","doi":"10.1007/s11334-022-00524-9","DOIUrl":"https://doi.org/10.1007/s11334-022-00524-9","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"1 1","pages":"1-16"},"PeriodicalIF":1.2,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45874391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An enumerated analysis of NoSQL data models using statistical tools","authors":"A. Samanta, N. Chaki","doi":"10.1007/s11334-022-00517-8","DOIUrl":"https://doi.org/10.1007/s11334-022-00517-8","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"1 1","pages":"1-10"},"PeriodicalIF":1.2,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46522688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A study on hydrodynamics of rigid and emergent vegetated flows using machine learning approach","authors":"Soumen Maji, Apurbalal Senapati, Arun Mondal","doi":"10.1007/s11334-022-00519-6","DOIUrl":"https://doi.org/10.1007/s11334-022-00519-6","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"1 1","pages":"1-8"},"PeriodicalIF":1.2,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44069433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Specification decomposition for reactive synthesis.","authors":"Bernd Finkbeiner, Gideon Geier, Noemi Passing","doi":"10.1007/s11334-022-00462-6","DOIUrl":"10.1007/s11334-022-00462-6","url":null,"abstract":"<p><p>Reactive synthesis is the task of automatically deriving a correct implementation from a specification. It is a promising technique for the development of verified programs and hardware. Despite recent advances in terms of algorithms and tools, however, reactive synthesis is still not practical when the specified systems reach a certain bound in size and complexity. In this paper, we present a sound and complete modular synthesis algorithm that automatically decomposes the specification into smaller subspecifications. For them, independent synthesis tasks are performed, significantly reducing the complexity of the individual tasks. Our decomposition algorithm guarantees that the subspecifications are independent in the sense that completely separate synthesis tasks can be performed for them. Moreover, the composition of the resulting implementations is guaranteed to satisfy the original specification. Our algorithm is a preprocessing technique that can be applied to a wide range of synthesis tools. We evaluate our approach with state-of-the-art synthesis tools on established benchmarks: the runtime decreases significantly when synthesizing implementations modularly.</p>","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"19 4","pages":"339-357"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134650152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mike Hinchey, Amit Jain, Manju Kaushik, Sanjay Misra
{"title":"Guest Editorial: Intelligence for systems and software engineering.","authors":"Mike Hinchey, Amit Jain, Manju Kaushik, Sanjay Misra","doi":"10.1007/s11334-023-00526-1","DOIUrl":"https://doi.org/10.1007/s11334-023-00526-1","url":null,"abstract":"","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"19 1","pages":"1-4"},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886201/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9191872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A systematic method for diagnosis of hepatitis disease using machine learning.","authors":"Ravi Kumar Sachdeva, Priyanka Bathla, Pooja Rani, Vikas Solanki, Rakesh Ahuja","doi":"10.1007/s11334-022-00509-8","DOIUrl":"https://doi.org/10.1007/s11334-022-00509-8","url":null,"abstract":"<p><p>Hepatitis is among the deadliest diseases on the planet. Machine learning approaches can contribute toward diagnosing hepatitis disease based on a few characteristics. On the UCI dataset, authors assessed distinct classifiers' performance in order to develop a systematic strategy for hepatitis disease diagnosis. The classifiers used are support vector machine, logistic regression (LR), K-nearest neighbor, and random forest. The classifiers were employed without class balancing and in conjunction with class balancing using SMOTE strategy. Both studies, classification without class balancing and with class balancing, were compared in terms of different performance parameters. After adopting class balancing, the efficiency of classifiers improved significantly. LR with SMOTE provided the highest level of accuracy (93.18%).</p>","PeriodicalId":44465,"journal":{"name":"Innovations in Systems and Software Engineering","volume":"19 1","pages":"71-80"},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818056/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9130614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}