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IEEE conference on Commerce and Enterprise Computing, CEC

作者： Sebastian Gottschalk Florian Rittmeier Gregor Engels Software Innovation Lab Paderborn University Paderborn Germany

ISBN: (数字)9781728199269

ISBN: (纸本)9781728199276

The continuous innovation of its business models is an important task for a company to stay competitive. During this process, the company has to validate various hypotheses about its business models by adapting to uncertain and changing customer needs effectively and efficiently. This adaptation, in turn, can be supported by the concept of software Product Lines (SPLs). SPLs reduce the time to market by deriving products for customers with changing requirements using a common set of features, structured as a feature model. Analogously, we support the process of business model adaptation by applying the engineering process of SPLs to the structure of the Business Model Canvas (BMC). We call this concept a Business Model Decision Line (BMDL). The BMDL matches business domain knowledge in the form of a feature model with customer needs to derive hypotheses about the business model together with experiments for validation. Our approach is effective by providing a comprehensive overview of possible business model adaptations and efficient by reusing experiments for different hypotheses. We implement our approach in a tool and illustrate the usefulness with an example of developing business models for a mobile application.

关键词： Adaptation models Technological innovation conferences Companies software product lines software

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Towards the adoption of international standards in enterprise architecture measurement 2

Towards the adoption of international standards in enterpris...

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2nd International conference on Data Science, E-Learning and Information Systems, DATA 2019

作者： Abdallah, Ammar Abran, Alain Abdallah, Bashar Software and IT Engineering École de Technologie Supérieure University of Québec Montréal Canada

ISBN: (纸本)9781450372848

Literature on Enterprise Architecture (EA) report that EA is an emerging discipline with an increasing attention from both academia and industry. However, the literature report on some challenges in EA research. For instance, EA modelling and EA measurement. In this paper, we aim to assist the EA community to overcome the challenges found in EA measurement, and enhance the adoption of knowledge from mature disciplines. Therefore, and to our knowledge, this paper is the first attempt to adopt two (2) international standards: ArchiMate as a standard language for EA modelling, and Common software Measurement International Consortium (COSMIC) as a measurement method standard. The paper outlines the adoption (referred to as mapping process), and propose accordingly a novel EA measurement approach based on these two (2) international standards. Since the proposed approach is based on recognized international standards, it is expected that the approach can be handy for EA practitioners, and easy to adopt by organizations. The paper describes a demonstrative example from the insurance industry using the novel measurement approach, and concludes with future research avenues. © 2019 Association for Computing Machinery. ACM

关键词： Modeling languages

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Towards Faster Reasoners by Using Transparent Huge Pages 26th

Towards Faster Reasoners by Using Transparent Huge Pages

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26th International conference on Principles and Practice of Constraint Programming, CP 2020

作者： Fichte, Johannes K. Manthey, Norbert Stecklina, Julian Schidler, André School of Engineering Sciences TU Dresden Dresden Germany Dresden Germany Algorithms and Complexity Group TU Wien Vienna Austria

ISBN: (纸本)9783030584740

Various state-of-the-art automated reasoning (AR) tools are widely used as backend tools in research of knowledge representation and reasoning as well as in industrial applications. In testing and verification, those tools often run continuously or nightly. In this work, we present an approach to reduce the runtime of AR tools by 10% on average and up to 20% for long running tasks. Our improvement addresses the high memory usage that comes with the data structures used in AR tools, which are based on conflict driven no-good learning. We establish a general way to enable faster memory access by using the memory cache line of modern hardware more effectively. Therefore, we extend the standard C library (glibc) by dynamically allowing to use a memory management feature called huge pages. Huge pages allow to reduce the overhead that is required to translate memory addresses between the virtual memory of the operating system and the physical memory of the hardware. In that way, we can reduce runtime, which in turn decreases costs of running AR tools and applications with similar memory access patterns by linking the tool against this new glibc library when compiling it. In every day industrial applications, runtime savings allow to include more detailed verification tasks, getting better results of any-time optimization algorithms with a bound execution time, and save energy during nightly software builds. To back up the claimed speed-up, we present experimental results for tools that are commonly used in the AR community, including the domains ASP, hardware and software BMC, MaxSAT, and SAT. © 2020, Springer Nature Switzerland AG.

关键词： Cache memory

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software modernization through model transformations 1st

Software modernization through model transformations

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1st International conference on Artificial Intelligence and Cognitive Computing, AICC 2018

作者： Kandukuri, Prabhakar Department of C. S. E. Vardhaman College of Engineering Hyderabad India

ISBN: (纸本)9789811315794

The legacy software contains experienced and validated knowledge that is very useful. But, these legacy systems may be problematic in few aspects like compatibility, security, enhancement, complexity. Hence, software modernization is required to meet the current business needs. The existing approaches like re-factoring, re-architecture, re-engineering, white-box modernization, black-box modernization are not sufficient for handling above-mentioned problem in a cost-efficient way. The proposed approach is based on model transformations where legacy system automatically passes through different models to reach the executable code in modern technologies. In this approach, only database of legacy software is required to modernize. This approach is able to exploit the problem faced by the legacy systems as there is no availability of proper document to it. It provides a discriminative way in providing proper design document for legacy systems through model transformations. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Legacy systems

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Research and Practice of Hybrid Teaching based on AI technology for Foreign Language Translation

Research and Practice of Hybrid Teaching Based on AI technol...

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International conference on Computer engineering and Applications (ICCEA)

作者： Ting Liu Eunyoung Kim Xiaoyan Li Takaya Yuizono Yukari Nagai Yifen Lu School of Foreign Languages Dalian Polytechnic University Dalian China School of Knowledge Science Japan Advanced Institute of Science and Technology Nomi Japan School of Interdisciplinary Science and Innovation Kyushu University Fukuoka Japan

ISBN: (数字)9781728159041

ISBN: (纸本)9781728159058

In the context of AI technology, it is necessary to reform the education by adopting information technology and intelligent teaching tools. The hybrid teaching and learning based on AI technology integrates online teaching with offline classroom teaching, by taking advantage of both informatic teaching and traditional teaching. This study takes an example of Japanese translation course of junior students majoring in Japanese language in higher education institutions, and conducts the AI-based Japanese translation hybrid teaching practice. The results indicate that the AI-based hybrid teaching mode may motivate students' activity and self-discipline in learning, and increase their capability and motif of autonomous learning.

关键词： Education Artificial intelligence Tools software Information technology Task analysis Informatics

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Parametrical intelligent design of steel bridges based on APDL language 5

Parametrical intelligent design of steel bridges based on AP...

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2019 5th International conference on Hydraulic and Civil engineering, ICHCE 2019

作者： Tan, Jinhua Zhang, Han Jin, Jingwen Road and Bridge Engineering Department School of Transportation Wuhan University of Technology Wuhan Hubei430063 China

Bridge is a hub project of traffic engineering, and it also reflects the comprehensive national strength of a country and a region, such as economic strength, science and technology, productivity development and so on. Parametric intelligent design is an inevitable trend of bridge engineering's development under the existing knowledge system. A parametric static and dynamic analysis software has been developed for two types of typical steel bridges - steel tube arch bridges and steel truss bridges based on APDL language. It can do the intelligence design work automatically for those bridges, which including the preprocessing work and the postprocessing work, such as the input of material data, section data, structure size, loads and constraints, and the output of force results, stress results, capturing images, and writing the design report file. Even the designer who is not professional can do the preliminary design work of a same type bridge quickly and easy with this software. © Published under licence by IOP Publishing Ltd.

关键词： Arch bridges

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Development of smart intraoral camera using artificial intelligence of medical things for digital dental support system

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AIP conference Proceedings 2024年第1期3127卷

作者： Karisma Trinanda Putra Cahya Damarjati Abu Bakar Valendriyani Ningrum Muhammad Ihsan Hsing-Chung Chen Department of Electrical Engineering Universitas Muhammadiyah Yogyakarta Bantul Special Region of Yogyakarta Indonesia Department of Informatics Engineering Universitas Muhammadiyah Yogyakarta Bantul Special Region of Yogyakarta Indonesia Department of Oral Medicine Faculty of Dentistry Baiturrahmah University Padang West Sumatra Indonesia Department of Dental Public Health Faculty of Dentistry Baiturrahmah University Padang West Sumatra Indonesia Department of Informatics Engineering Asia University Wufeng District Taichung City Taiwan

Dental disease is the first complaint of 10 major diseases in Indonesia. Almost the entire population of Indonesia has dental and oral health problems. Delay in early detection of dental and oral health problems can result in loss of productivity, longer duration of treatment, loss of teeth, higher costs, complications with other organs, which can lead to death due to cancer. We propose the invention concerns wireless oral image recording instruments and identification methods thereof. Several existing inventions do not yet have the following features including wireless connection, object detection, and prediction of oral and dental diseases that integrate the knowledge of clinical experts using the application. The purpose of this invention was to add to the features mentioned above by using Artificial Intelligence of Medical Things (AIoMT) concept, designing object detection based on deep learning (DL) algorithms, and integrating prediction systems high performance using collaborative datasets. This invention integrated intraoral image recording hardware in the Intraoral Camera Unit (ICU) with software in the Display Processing Unit (DPU) which produces visualization of predicted results, and a webserver unit as a data collection unit and image classifier according to the validated disease interpretation. The integration of these three units can then be used by medical scholars, researchers and medical practitioners to strengthen the reliability of the interpretation process, especially related to oral diseases using an integrated digital dental support system.

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Discovering Flow Graphs from Data Tables Using the Classification and Prediction software System (CLAPSS) 1

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International Joint conference on Rough Sets (IJCRS)

作者： Pancerz, Krzysztof Lewicki, Arkadiusz Sarzynski, Jaromir Univ Rzeszow Fac Math & Nat Sci Pigonia St 1 PL-35310 Rzeszow Poland Univ Informat Technol & Management Rzeszow Sucharskiego St 2 PL-35225 Rzeszow Poland

ISBN: (数字)9783030228156

ISBN: (纸本)9783030228156;9783030228149

In the paper, theoretical background, as well as practical implementation, of discovering flow graphs (both fuzzy and rough set) from data tables are presented. We assume that data tables represent information/decision systems in the Pawlak's sense. The implementation was made in a software tool called the Classification and Prediction software System (CLAPSS). CLAPSS is a tool developed in the Java technology for solving different classification and prediction problems using, among others, some specialized approaches based mainly on fuzzy sets and rough sets. In general, those specialized approaches implemented in CLAPSS are not available in other tools.

关键词： Flow graphs Rough sets Fuzzy sets software tool

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Checkable Safety Cases: Enabling Automated Consistency Checks between Safety Work Products

Checkable Safety Cases: Enabling Automated Consistency Check...

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IEEE International conference on software Reliability engineering Workshops (ISSRE Wksp)

作者： Carmen Cârlan Daniel PetriŞor Barbara Gallina Hannes Schoenhaar fortiss GmbH Munich Germany Continental Automotive Romania Technical University of Iaşi Iaşi Romania Mälardalen University Västerås Sweden Siemens AG Munich Germany

ISBN: (数字)9781728177359

ISBN: (纸本)9781728177366

In the automotive domain, the employment of agile development is currently hindered by the fact that the safety lifecycle, which implies the creation and maintenance of safety work products, is manually executed, being a complex and expensive process. Given a change in the system under consideration, ISO 26262 recommends that the impact of that change on the safety case of the system shall be assessed and that the safety case shall be correspondingly updated. To this end, in this paper, while assuming a model-based system and safety engineering context, we propose checkable safety case models, which are semantically rich safety case models integrated with system and safety engineering models (i.e., work products of a model-based safety lifecycle). The semantically rich specification and the model integration allow for automated consistency checks between the safety case and the system, specifically its engineering models. We exemplify our contributions via an in-vehicle driver assistance system for driving through intersections.

关键词： Hazards Sensors Context modeling Vehicles Maintenance engineering ISO Standards Automotive engineering

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Reducing Delay Penalty of Multiple Concurrent software Projects based on Overtime Planning

Reducing Delay Penalty of Multiple Concurrent Software Proje...

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IEEE/ACM International conference on Automated software engineering - Workshops (ASE Workshops)

作者： Wei Zhang Yun Yang Xiao Liu School of Computer Science and Technology School of Software Anhui University East China University of Technology Hefei China Nanchang China School of Software and Electrical Engineering School of Computer Science and Technology Swinburne University of Technology Anhui University Melbourne Australia Hefei China School of Information Technology Deakin University Geelong Australia

ISBN: (数字)9781450381284

ISBN: (纸本)9781728172958

For software projects, significant delays can result in heavy penalty which may end up with project costs exceeding their budgets. As a consequence, employees, i.e., software developers, are often requested to work overtime in order to reduce or even eliminate the delays. By doing so, overtime payment may often be introduced and excessive overtime payment can also easily swallow company profit which may even lead to serious overdraft Hence software manager needs to decide who should work overtime and how much overtime they would take in order to control the cost. This means that it is important to investigate how to reduce or eliminate the overall penalties by taking multiple concurrent software projects into account. In practice, there is normally a number of available employees with same or similar skills and domain knowledge from other similar concurrent projects. In addition, they have different skill *** rescheduling those employees with appropriate overtime may be feasible to find a solution which can reduce or eliminate the penalties of delayed software projects. Since this kind of scheduling is a typical NP-hard problem, a novel generic strategy is proposed to help select appropriate employees and determine how much overtime to be assigned to the delayed activities. The new strategy combines the features of Ant Colony Optimization algorithm and Tabu strategy and includes four rules to reduce the search space. A set of comprehensive generic experiments is carried out in order to evaluate the performance of the proposed strategy in a general manner. In addition, three real world software project instances are also utilized to evaluate our strategy The results demonstrate that our strategy is effective which outperforms the other representative strategies which are applied successfully at software project scheduling.

关键词： software engineering Germanium conferences 6G mobile communication

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