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SE-CLOUD 2019: International Conference on Software Engineering for Service and Cloud Computing

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SE-CLOUD
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投稿締切日:
2019-05-20 Extended
通知日:
2019-06-28
開催日:
2019-09-18
開催地:
Vienna, Austria
開催回数:
2
閲覧: 19074   フォロー: 0   参加: 0

会伴インデックス (CP-I)

38.0 / 100
全 5,683 件中 第 5,407 位 · 上位 96%

ソフトウェア工学 分野 247 件中 第 242 位 システム・アーキテクチャ 分野 341 件中 第 330 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
30
コミュニティの注目度 (10%)
8
公開情報の充実度 (15%)
25

使用した入力: 確認できる開催回数：2 · 過去 24 か月にこのページを開いた研究者：2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-22

論文募集

SE-CLOUD 2019 (International Conference on Software Engineering for Service and Cloud Computing) is an academic conference held in Vienna, Austria on 2019-09-18. The paper submission deadline is 2019-05-20 (extended). Acceptance notifications are sent on 2019-06-28.

SCOPE Service oriented software engineering and cloud software engineering have emerged to address software as a set of services which deal with user needs. At the same time, we have seen a large number of downfalls due to software failures. This was in part due to the lack of adopting well designed software engineering practices. Now, there is a need to revise these practices given the emergence of service and cloud computing, which will revolutionize the next generation of software engineering. This conference offers a venue for presenting new approaches, processes, techniques, technologies and applications based on the paradigm of Cloud Software Engineering. Cloud Software Engineering research is vibrant and encompasses many areas, like knowledge sharing, requirements engineering, organisational and business processes, project management, web and computational services, run-time re-configurability, integration, testing, componentisation and many others. CONFERENCE AREAS Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. REQUIREMENTS ENGINEERING FOR CLOUD COMPUTING 2. CLOUD SOFTWARE ENGINEERING AND PROJECT MANAGEMENT 3. CLOUD DESIGN AND TEST PRINCIPLES 4. SOFTWARE ENGINEERING INNOVATIVE APPLICATIONS AREA 1: REQUIREMENTS ENGINEERING FOR CLOUD COMPUTING RE Models and Visualisation Techniques Defining Service Abstraction and Visualisation Agile Requirements Engineering for Cloud Computing Automated Tools and Techniques Business Process Management: BPMN Tools and Automated Techniques to Drive Requirements and Services Elasticity, Multi-Tenancy, Security and Scalability Requirements Test-Driven Cloud Services Cloud Based RE as a Service (REaaS) Social Modelling Techniques, Visualisation, and Automation Cloud QoS Based Requirements Engineering Formal Specification Methods and Techniques for Cloud Services BPMN Based Simulation Techniques for Validating Cloud Services and Performances Requirements Reuse of Service Requirements AREA 2: CLOUD SOFTWARE ENGINEERING AND PROJECT MANAGEMENT Cloudonomics: the Economics of Cloud Computing Estimating and Measuring Cloud Computing Projects Cloud Based Software Project Management and Software Project Management as a Service (PMaaS) Service Point Abstraction for Measuring the Complexity of Cloud Services Cloud Based Project Management Tools and Industrial Case Studies Secure Service Development Techniques Cloud Service Security Techniques, Methods and Tools Secure Development Based Tools for WSDL, BPMN, BPEL, SOAP, RESTful, Etc Automated Generation of BPEL, Services, RESTful APIs Generative Reuse of Services and Reuse by Service Composition on-the-Fly AREA 3: CLOUD DESIGN AND TEST PRINCIPLES View-Driven Cloud SE and Single Underlying Model (SUM) Service Components: UML, SoaML and CloudML Service Design Paradigm for Cloud Computing Cloud Design as a Service (CDaaS) Enterprise Architecture for Large Scale Reuse: Approaches, Techniques and Tools for Integrating Enterprises with Cloud Services and Reuse of Cloud Services Approaches and Techniques Design for Reuse of Services Testing Cloud Services: Techniques and Tools Agile Based Test Approaches Testing as a Service (TaaS): Approaches, Techniques and Tools AREA 4: SOFTWARE ENGINEERING INNOVATIVE APPLICATIONS Software Engineering for Big Data: Paradigm, Methods, Analytic Techniques and Tools Prediction Models Using Soft Computing Approaches RE and Design Techniques for IoT Based Cloud Applications Testing: Tools and Approaches for IoT Applications and Devices Cloud Based WSN for Natural Disasters Applications Such as Tsunami, Flood Alert Systems, and Earthquakes, Fire, Safety and Sustainability of Our Environment, Smart Living with ICT Cloud Based Services for Healthcare and Big Data Analytics
最終更新：Dou Sun（）

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