Alixandre Santana, Daniel Simon, K. Fischbach, H. Moura
{"title":"Combining Network Measures and Expert Knowledge to Analyze Enterprise Architecture at the Component Level","authors":"Alixandre Santana, Daniel Simon, K. Fischbach, H. Moura","doi":"10.1109/EDOC.2016.7579379","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579379","url":null,"abstract":"Enterprise architecture (EA) network analysis has been attracting researchers' attention lately. The main source of information is the structural components, including the relations among them and how they might be structurally arranged. These relations are studied to generate valuable information for EA professionals. However, to the best of our knowledge, ours is the first attempt to combine structural information with a second source of information: expert's tacit knowledge. We believe combining these sources employing two new methods - what we call cognitive-structural diagnosis analysis and attribute check analysis - can refine the expert's knowledge about the architecture. To demonstrate these methods' feasibility, we apply them with two application architecture datasets collected in two different organizations. We also offer a classification schema for enterprise architecture network analysis at the component level, our focus. Our conclusions indicate that the cognitive- structural diagnosis analysis method minimizes analysis subjectivity while validating important components and also suggesting important structural ones to be further analyzed by experts. The attribute check analysis offers further contributions by helping in the investigation of particular attributes of applications in important architectural positions.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125421458","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}
Suman Roychoudhury, Nikhil Bellarykar, V. Kulkarni
{"title":"A NLP Based Framework to Support Document Verification-as-a-Service","authors":"Suman Roychoudhury, Nikhil Bellarykar, V. Kulkarni","doi":"10.1109/EDOC.2016.7579376","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579376","url":null,"abstract":"Many enterprise systems are document intensive that requires extensive manual verification in the form of maker and checker. However, a maker-checker based verification raises several challenges with respect to increase in cost and time of verification. Furthermore, any manual labor intensive verification is not free from human oversight and can lead to costly errors. Therefore, to alleviate the challenges arising out of human verification of document intensive systems, we propose a rule based framework that enables automatic verification of document based systems. The framework uses ontology based knowledge representation techniques along with appropriate natural language processing methods to extract operational rules from business documents and then use suitable reasoning engine for verification. The above framework is validated in the light of a real life case study namely International Trade that deals with several critical financial documents like Letter-of-Credit, Bill-of-Lading, Commercial Invoice etc.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126661348","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}
J. Schoenfisch, Janno von Stülpnagel, J. Ortmann, Christian Meilicke, H. Stuckenschmidt
{"title":"Root Cause Analysis through Abduction in Markov Logic Networks","authors":"J. Schoenfisch, Janno von Stülpnagel, J. Ortmann, Christian Meilicke, H. Stuckenschmidt","doi":"10.1109/EDOC.2016.7579386","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579386","url":null,"abstract":"IT infrastructure is a crucial part in most of today''s business operations. High availability and reliability, and short response times to outages are essential. Thus a high amount of tool support and automation in risk management is desirable to decrease outages. We propose a new approach for calculating the root cause for an observed failure in an IT infrastructure. Our approach is based on Abduction in Markov Logic Networks. Abduction aims to find an explanation for a given observation in the light of some background knowledge. In failure diagnosis, the explanation corresponds to the root cause, the observation to the failure of a component, and the background knowledge to the dependency graph extended by potential risks. We apply a method to extend a Markov Logic Network in order to conduct abductive reasoning, which is not naturally supported in this formalism. Our approach exhibits a high amount of reusability and enables users without specific knowledge of a concrete infrastructure to gain viable insights in the case of an incident. We implemented the method in a tool and illustrate its suitability for root cause analysis by applying it to a sample scenario.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115380826","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":"The Impacts of Enterprise Social Software on the Innovation Process","authors":"C. Herzog, M. Steinhüser","doi":"10.1109/EDOC.2016.7579387","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579387","url":null,"abstract":"Innovations are essential if companies are to maintain and increase their competitiveness. Thus, companies face the question how rather than whether to generate innovations. One possible parameter to design an innovation-friendly environment is providing appropriate software such as enterprise social software (ESS). This motivated us to explore how the use of ESS may impact the innovation process. We present results deduced from an exploratory case study. Based on 26 interviews and theoretical considerations about the innovation process, our findings reveal that ESS has the potential to support the different stages of the innovation process. Furthermore, the results indicate that ESS usage creates impacts concerning (1) the information processing itself, (2) daily work outputs, and (3) measurable outcomes at the organizational level. Here, particularly the generic processes in the knowledge and implementation stages stand to benefit.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123473280","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}
Sylvain Hallé, R. Khoury, Antoine El-Hokayem, Yliès Falcone
{"title":"Decentralized Enforcement of Artifact Lifecycles","authors":"Sylvain Hallé, R. Khoury, Antoine El-Hokayem, Yliès Falcone","doi":"10.1109/EDOC.2016.7579380","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579380","url":null,"abstract":"Artifact-centric workflows describe possible executions of a business process through constraints expressed from the point of view of the documents exchanged between principals. A sequence of manipulations is deemed valid as long as every document in the workflow follows its prescribed lifecycle at all steps of the process. So far, establishing that a given workflow complies with artifact lifecycles has mostly been done through static verification, or by assuming a centralized access to all artifacts where these constraints can be monitored and enforced. We present in this paper an alternate method of enforcing document lifecycles that requires neither static verification nor single-point access. Rather, the document itself is designed to carry fragments of its history, protected from tampering using hashing and public-key encryption. Any principal involved in the process can verify at any time that a document's history complies with a given lifecycle. Moreover, the proposed system also enforces access permissions: not all actions are visible to all principals, and one can only modify and verify what one is allowed to observe.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134196859","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}
C. Hochreiner, Michael Vögler, P. Waibel, S. Dustdar
{"title":"VISP: An Ecosystem for Elastic Data Stream Processing for the Internet of Things","authors":"C. Hochreiner, Michael Vögler, P. Waibel, S. Dustdar","doi":"10.1109/EDOC.2016.7579390","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579390","url":null,"abstract":"The Internet of Things is getting more and more traction, nevertheless, state-of-the-art approaches only focus on specific aspects, like the integration of heterogeneous devices or the processing of sensor data emitted by these devices. However, such domain-specific approaches slow the adoption rate of the Internet of Things, because users need to select and integrate different approaches in order to build a solution that fits all their requirements. To resolve this shortcoming, we have designed and implemented the VISP ecosystem, which provides a holistic approach for elastic data stream processing in Internet of Things scenarios by supporting the complete lifecycle of designing, deploying, and executing such scenarios. VISP further tackles the challenges of data privacy as well as software reuse, including monetization aspects in today's service landscapes. This paper analyzes challenges for creating solutions for the Internet of Things, presents the VISP ecosystem, and discusses its applicability for use case specific data stream processing topologies.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132267068","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":"Towards a Reference Ontology of Complex Economic Exchanges for Accounting Information Systems","authors":"Ivars Blums, H. Weigand","doi":"10.1109/EDOC.2016.7579388","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579388","url":null,"abstract":"Although the field of Accounting Information Systems (AIS) has a long tradition, there is still a lack of a widely adopted conceptualization. The Unified Foundational Ontology (UFO) and its Services sub- ontology (UFO-S) are regarded as grounding the engineering of a reference ontology for AIS. The new International Accounting Standards Board Conceptual Framework for Financial Reporting is used as a main source of the domain knowledge, and a reference ontology of complex economic exchanges (EXP) for AIS is proposed. EXP includes offered, agreed, partial, realization, and settlement economic exchange conceptual models. The economic exchanges affect enterprise economic resources and claims against the enterprise that are represented by economic relators including offerings, agreements, (unconditional, in process and residual) obligations and property rights. The model is an important step towards the development of a Core ontology for AIS.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129440819","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":"Informed Active Learning to Aid Domain Experts in Modeling Compliance","authors":"Sagar Sunkle, Deepali Kholkar, V. Kulkarni","doi":"10.1109/EDOC.2016.7579382","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579382","url":null,"abstract":"Modern enterprises face an unprecedented regulatory regime. Traditional compliance practices in enterprises rely heavily on domain experts whose judgement determines what compliance means and how to reflect regulations onto the enterprise processes and data to make them compliant. These activities are mostly manual in nature. We present a machine learning approach to modeling compliance. Our key innovations are a) use of active learning- a semi-supervised system capable of learning interactively from the domain expert to identify regulations and b) informing the feature representation of the active learner based on domain- specific entities and relations to effectively build a domain model of regulations. Early results show that our system reduces the burden on domain experts to a large extent, enables latching domain expert's knowledge, and makes further steps in compliance easier by the use of models.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115638569","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":"Retrieving Resource Availability Insights from Event Logs","authors":"Niels Martin, Frank Bax, B. Depaire, A. Caris","doi":"10.1109/EDOC.2016.7579385","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579385","url":null,"abstract":"Resources are a critical component of a business process as they execute the activities. These resources, especially human resources, are not permanently available and tend to be involved in multiple processes. However, a company might wish to analyze or model a single process. To this end, insights need to be gathered on the availability of a resource for a particular process. This paper presents a procedure to retrieve daily availability records from an event log, which express a resource's availability for the process under analysis while taking into account (i) the temporal dimension of availability and (ii) intermediate availability interruptions. Both the daily availability records themselves and the resource availability metrics that are introduced allow managers and employees to gain understanding in resource allocation to a process. The outlined procedure and metrics are applied to a real-life call center log, showing the need to post-process the daily availability records. Post-processing increases their comprehensiveness and is required to obtain meaningful values for particular metrics.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128531885","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":"Generating Domain-Specific Process Studios","authors":"Adrian Mos, Mario Cortes Cornax","doi":"10.1109/EDOC.2016.7579381","DOIUrl":"https://doi.org/10.1109/EDOC.2016.7579381","url":null,"abstract":"Typical business process management studios provide support for process design through generic languages such as BPMN. This brings several shortcomings related to process governance over time, process ambiguity and complexity for non-technical users. Domain-specific process languages have the potential to correct these issues but they require strong enterprise tool support and integration in order to be successfully adopted. This paper proposes a mechanism for generating intuitive yet feature-rich graphical process studios for various business domains that are fully integrated with standard business process management solutions. It reduces the need for costly development and maintenance of such studios while ensuring that business users have consistent access to the ever-evolving enterprise body of knowledge. The approach uses model-based transformations to generate and support the entire infrastructure required by the studios. This includes the graphical user interface, the conversion capabilities to and from BPMN, embedding of real-time monitoring data from business process engines and service oriented platforms, live multi-user collaboration support, process governance and evolution, domain know-how management, as well as service-level agreement monitoring. The approach has been fully prototyped and integrated with enterprise-level tools and platforms.","PeriodicalId":341889,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123773042","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}