M. Chevalier, M. Malki, A. Kopliku, O. Teste, R. Tournier
{"title":"Benchmark for OLAP on NoSQL technologies comparing NoSQL multidimensional data warehousing solutions","authors":"M. Chevalier, M. Malki, A. Kopliku, O. Teste, R. Tournier","doi":"10.1109/RCIS.2015.7128909","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128909","url":null,"abstract":"The plethora of data warehouse solutions has created a need comparing these solutions using experimental benchmarks. Existing benchmarks rely mostly on the relational data model and do not take into account other models. In this paper, we propose an extension to a popular benchmark (the Star Schema Benchmark or SSB) that considers non-relational NoSQL models. To avoid data post-processing required for using this data with NoSQL systems, the data is generated in different formats. To exploit at best horizontal scaling, data can be produced in a distributed file system, hence removing disk or partition sizes as limit for the generated dataset. Experimental work proves improved performance of our new benchmark.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115373349","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":"Adaptive software-based Feedback Acquisition: A Persona-based design","authors":"Malik Almaliki, Cornelius Ncube, Raian Ali","doi":"10.1109/RCIS.2015.7128868","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128868","url":null,"abstract":"Users' feedback is vital to improve software quality and it provides developers with a rich knowledge on how software meets users' requirements in practice. Feedback informs how software should adapt, or be adapted, at runtime and what evolutionary actions to take in the next release. However, studies have noted that accommodating the different preferences of users on how feedback should be requested is a complex task and requires a careful engineering process. This calls for an adaptive feedback acquisition mechanisms to cater for such variability. In this paper, we tackle this problem by employing the concept of Persona to aid software engineers understand the various users' behaviours and improve their ability to design feedback acquisition techniques more efficiently. We create a set of personas based on a mixture of qualitative and quantitative studies and propose PAFA, a Persona-based method for Adaptive Feedback Acquisition.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125339604","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":"Holistic Statistical Open Data integration based on integer linear programming","authors":"A. Berro, I. Megdiche, O. Teste","doi":"10.1109/RCIS.2015.7128908","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128908","url":null,"abstract":"Integrating several Statistical Open Data (SOD) tables is a very promising issue. Various analysis scenarios are hidden behind these statistical data, which makes it important to have a holistic view of them. However, as these data are scattered in several tables, it is a slow and costly process to use existing pairwise schema matching approaches to integrate several schemas of the tables. Hence, we need automatic tools that rapidly converge to a holistic integrated view of data and give a good matching quality. In order to accomplish this objective, we propose a new 0-1 linear program, which automatically resolves the problem of holistic OD integration. It performs global optimal solutions maximizing the profit of similarities between OD graphs. The program encompasses different constraints related to graph structures and matching setup, in particular 1:1 matching. It is solved using a standard solver (CPLEX) and experiments show that it can handle several input graphs and good matching quality compared to existing tools.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122601971","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":"Re-designing process architectures towards a framework of design dimensions","authors":"Alexei Lapouchnian, E. Yu, A. Sturm","doi":"10.1109/RCIS.2015.7128881","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128881","url":null,"abstract":"Organizations rely on a multiplicity of processes covering everything from their day-to-day functioning to longer term viability. Together, these processes and their interrelationships constitute the business process architecture (BPA) of the organization. While efforts have been dedicated to the analysis and design of business processes, the question of how processes in an organization should best relate to each other (i.e., the design of the BPA) has received relatively little consideration. Supported by technological and business innovations, the torrent of changes faced by today's organizations, forces them to stop looking at their processes individually and focus on designing BPAs, especially concentrating on balancing flexibility/agility and other objectives, such as cost and efficiency. In this paper, we propose a framework for BPA design with several dimensions along which activities or decisions could potentially be repositioned across processes and a goal-driven approach for analyzing possible BPA configurations.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117014423","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}
Imen Ben Said, M. Chaâbane, R. Bouaziz, E. Andonoff
{"title":"Flexibility of collaborative processes using versions and adaptation patterns","authors":"Imen Ben Said, M. Chaâbane, R. Bouaziz, E. Andonoff","doi":"10.1109/RCIS.2015.7128901","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128901","url":null,"abstract":"Process aware Information Systems (PaIS) have an ever-increasing importance in Enterprise Information Systems for supporting both their intra and inter-organizational processes. However PaIS still have important issues to address, including flexibility of inter-organizational (i.e., collaborative) processes before their definitive acceptance and their use in companies. This paper addresses this issue advocating (i) the modelling of collaborative processes as BPMN collaboration, (ii) the use of the version notion to deal with collaborative process flexibility and to make process instance migration easier, and (iii) the introduction of 6 new adaptation patterns which are high-level operations for collaborative process schema update.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128359446","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 novel method for automatic discovery, annotation and interactive visualization of prominent clusters in mobile subscriber datasets","authors":"M. ShabanaK, jobin. wilson, jobin. wilson","doi":"10.1109/RCIS.2015.7128872","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128872","url":null,"abstract":"Customers are the most important aspect of any business and hence a solid customer segmentation strategy is a vital component in customer experience management (CEM). With declining revenues, increasing competition, regulatory pressures and price wars, communication service providers (CSPs) are increasingly focusing on CEM for subscriber retention and revenue enhancement. Grouping subscribers based on their behavior traits help CSPs to devise highly targeted marketing strategies and promotional schemes catering to preferences of individual segments, thereby improving the overall business performance and customer value. Clustering algorithms are widely used by CSPs for customer segmentation. Even though clustering algorithms attempt to identify natural groupings of subscribers based on their profile and service usage patterns, meaningfully visualizing and annotating these clusters to enable faster decisioning is a challenging problem, requiring a lot of manual intervention. In this paper, we present a novel scalable method for automatic discovery, annotation and interactive visualization of prominent segments in mobile subscriber datasets. We also extent this technique to segment migration analysis, allowing marketers to closely understand temporal behavior patterns of subscribers.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128643626","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}
Sebastian Geiger-Prat, Beatriz Marín, Sergio España, Giovanni Giachetti
{"title":"A GUI modeling language for mobile applications","authors":"Sebastian Geiger-Prat, Beatriz Marín, Sergio España, Giovanni Giachetti","doi":"10.1109/RCIS.2015.7128866","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128866","url":null,"abstract":"The market of mobile applications is constantly changing and growing, partly due to the popularity of software that supports daily tasks and the emergence of new communication medias. Applications of this kind are typically small but require high usability interfaces, which are often based on small's sets of patterns with proven efficacy. Using patterns is one of the main principles of model-driven development, a paradigm with the potential to reduce development time and coding errors. However, there exist many challenges for improving the usability of automatically generated mobile interfaces. To face some of these challenges, this paper proposes a method to model mobile interfaces, which is part of an ongoing research project aimed at model-driven development of fully-functional mobile applications. We present the modeling constructs, which are inspired by recent studies on best practices, and evaluate the feasibility of the application of the proposal to an archetypical case.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121481692","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":"Measuring sustainability for an effective Information System audit from public organization perspective","authors":"A. Rahman, Shareeful Islam, Ameer Al-Nemrat","doi":"10.1109/RCIS.2015.7128862","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128862","url":null,"abstract":"Information System (IS) auditing is the assessment of various controls, risk, and system development within IS infrastructures. Incorporation of sustainability within the existing audit process aims to enhance the execution of the IS audit for an effective information system. Commonly, the performance of an IS service is evaluated through quantitative scales such as Likert Scale. However, such measurement does not provide an accurate value of the audit context due to lack of precision. Our work attempts to address this limitation. In particular, we propose a Sustainability-driven Information System Audit (SISA) approach that integrates Analytical Hierarchy Process (AHP) and the Fuzzy Set Theory (FST) to determine the performance of sustainability in IS focusing on the public organization. Sustainability consists of five dimensions as audit criteria, i.e., economic, environmental, resources, social and technology. These audit criteria are also contain sub-criteria such as cost, green IS...etc. In our case, the AHP is used to identify the relevance importance of the sustainability dimensions and its related attributes so that we can prioritize the relevant audit areas. The priority is then used to determine the level of the satisfactory of the IS sustainability using the FST. Finally, we provide a case study from the National Audit Department of Malaysia to demonstrate the applicability of our approach. The results show that this approach is useful for an effective audit towards sustainability, where auditors are able to produce effective justification for IS audit findings.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128151833","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 analytical model for data persistence in Business Data Warehouses","authors":"V. Köppen, Thorsten Winsemann, G. Saake","doi":"10.1109/RCIS.2015.7128896","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128896","url":null,"abstract":"Redundancy of data persistence in Data Warehouses is mostly justified with better performance when accessing data for analysis. However, there are other reasons to store data redundantly, which are often not recognized when designing data warehouses. Especially in Business Data Warehouses, data management via multiple persistence levels is necessary to condition the huge amount of data into an adequate format for its final usage. Redundant data allocates additional disk space and requires time-consuming processing and huge effort for complex maintenance. That means in reverse: avoiding data persistence leads to less effort. The question arises: What data for what purposes do really need to be stored? In this paper, we discuss decision support and evaluation approaches beyond cost-based comparisons. We use a compendium of purposes for data persistence. We define a model that includes objective indicators and subjective user preferences for decision making on data persistence in Business Data Warehouses. We develop an indicator system that enables the measurement of technical as well as business-related facts. With multi-criteria decision methodology, we present a framework to objectively compare different alternatives for data persistence. Finally, we apply our developed method to a real world Business Data Warehouse and show applicability and integration of our model in an existing system.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"178 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131991066","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":"Automated refinement of business processes through model transformations specifying business rules","authors":"R. Popp, H. Kaindl","doi":"10.1109/RCIS.2015.7128893","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128893","url":null,"abstract":"Business processes are changing over time, e.g., due to new or changed legal regulations. Complex processes are susceptible to change, since they capture much detail and/or deal with variability according to context. Manual adaptation of process models according to such changes takes time and is error-prone. In order to address these issues, primarily complexity, we propose to model high-level reference processes with less detail than the fully-fledged processes. The missing details are captured in additional business rules that operationalize how an organization performs miscellaneous tasks. Their application to a high-level reference process leads to its refinement. Technically, we propose explicit separation of process models (represented in BPMN) and specifications of business rules (represented as model-transformation rules based on the BPMN 2.0 metamodel). Applying such rules as model transformations to process models (at design-time) leads to models of either refined or adjusted models of business processes. In this way, even without any extension of the BPMN 2.0 standard, these model adaptations can handle the required changes of business processes.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133365911","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}