{"title":"Region of Interest Mining Using Stay Point Detection and Point Region Quadtree","authors":"Vicky Zilvan, F. N. Azizah","doi":"10.1109/ICODSE.2018.8705804","DOIUrl":"https://doi.org/10.1109/ICODSE.2018.8705804","url":null,"abstract":"Regions of Interest (RoI) mining using Point Region (PR) quadtree on near continuous movement data introduces problems as spatial partitioning process as well as RoI extraction process become computationaly high. To handle this problem, this research, proposes a method to adopt the use of stay point detection on PR quadtree for RoI mining. This research also proposes to use both the spatial and temporal aspects of the data in order to provide spatial and temporal based RoI. The evaluation of the proposed method shows that the adoption of stay point detection on PR quadtree for RoI mining reduces the computational time on spatial partitioning process and RoI extraction process. The proposed method also solves the problem in obtaining more precise RoI mining results. The evaluation also shows that the method can be used to produce more detailed RoIs that are based on both spatial dan temporal aspects of the data. Using this approach, we can see different regions of interest depending on the times of consideration.","PeriodicalId":362422,"journal":{"name":"2018 5th International Conference on Data and Software Engineering (ICoDSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115839816","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":"Proceedings of 2018 5th Interational Conference on Data and Software Engineering (ICoDSE)","authors":"","doi":"10.1109/icodse.2018.8705913","DOIUrl":"https://doi.org/10.1109/icodse.2018.8705913","url":null,"abstract":"","PeriodicalId":362422,"journal":{"name":"2018 5th International Conference on Data and Software Engineering (ICoDSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126828674","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":"Software Metrics Proposal for Conformity Checking of Class Diagram to SOLID Design Principles","authors":"I. Oktafiani, B. Hendradjaya","doi":"10.1109/ICODSE.2018.8705857","DOIUrl":"https://doi.org/10.1109/ICODSE.2018.8705857","url":null,"abstract":"Good software design quality is needed to reduce the number of errors in the implementation and testing phase. The SOLID design principles have been used as an object-oriented design guideline to meet software quality factors, such as understandability, flexibility, maintainability, and testability. In this paper we propose a set of metric to measure the conformity of class diagram to SOLID principles. In this study, we have analyzed the relationship between the concepts of SOLID principles with class diagram metrics, the metrics for each principles and the measurement techniques for class diagrams are produced. The proposed metrics for SRP, OCP, LSP, ISP, and DIP are respectively VSRP (Value of SRP), VOCP (Value of OCP), VLSP (Value of LSP), VISP (Value of ISP) and VDIP (Value of DIP). The metric has been validated using 15 class diagrams extracted from seven software applications. A spearman's rank correlation has been used and it has described the correlation between the metrics. This suggests that the proposed metrics have demonstrated their practicality.","PeriodicalId":362422,"journal":{"name":"2018 5th International Conference on Data and Software Engineering (ICoDSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116659182","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}