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Needs and Challenges for a Platform to Support Large-scale Requirements Engineering. A Multiple Case Study
[article]
2018
arXiv
pre-print
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Aims: The empirical study presented in this paper aims to identify and understand the characteristics and challenges of a platform, as desired by experts, to support requirement engineering for individual ...
The increasing complexity of software, as well as number and heterogeneity of stakeholders, motivate the development of methods and tools for improving large-scale requirement engineering. ...
ACKNOWLEDGMENTS The authors of this paper have received funding from the European Union Horizon 2020 research and innovation Programme under grant agreement No 732463. ...
arXiv:1808.02284v2
fatcat:u4d3mytamzhllgo4j5zwbmrq6u
Architecting and Coordinating Thousands of Requirements – An Industrial Case Study
[chapter]
2009
Lecture Notes in Computer Science
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Problem: This paper presents an industrial case study with the goal to increase our understanding of large-scale requirements engineering practice. ...
We focus on a senior requirements engineering role at our case company, called requirements architect, responsible for quality and coordination of large requirements repositories. ...
Our motivation to perform this study was to understand current practices in working with large-scale requirements repositories and to find issues for future research. ...
doi:10.1007/978-3-642-02050-6_10
fatcat:j3bdtdbsofgy3cfqsaczbd6gbm
HomeLab
2012
Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp '12
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Considerable custom engineering is required to ensure hardware and software prototypes work robustly, and recruiting and managing more than a handful of households can be difficult and cost-prohibitive ...
Researchers who develop new home technologies using connected devices (e.g. sensors) often want to conduct large-scale field studies in homes to evaluate their technology, but conducting such studies today ...
ACKNOWLEDGMENTS We thank the people who have used and extended the HomeOS system. We also appreciate feedback from the workshop reviewers which helped us improve the paper. ...
doi:10.1145/2370216.2370450
dblp:conf/huc/BrushJMS12
fatcat:beyjxmsmgjftzm4s4tf2ddgkaa
CyberInfrastructures of cyber-applications-systems
2010
Procedia Computer Science
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We have used the term Cyber-Applications-Systems to refer to complex applications systems together with their support environments, for applications representing natural or physical systems, engineered ...
computational and data support requirements. ...
In multi-modal, multilevel and/or multi-scale modeling, one needs, for example, to address challenges of how to link models of disparate time and spatial scales; and understand and maintain algorithmic ...
doi:10.1016/j.procs.2010.04.143
fatcat:a6umb62gufcbnogzz7d26osmae
Architecture challenges for internal software ecosystems: a large-scale industry case study
2014
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2014
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We present an in-depth case study on collaboration and architecture challenges in two of these large-scale software projects at Siemens. ...
Our study results provide valuable insights for both industry and academia: Practitioners that find themselves in one of the collaboration models can use empirical evidence on challenges to make informed ...
Bosch et al. perceived software architecture as enabler for effective collaboration in large-scale software engineering [6] . ...
doi:10.1145/2635868.2635876
dblp:conf/sigsoft/SchultisEL14
fatcat:dm6ihv566bacpkbrw3z3kvs47u
Mobile Application Testing: A Tutorial
2014
Computer
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to support large-scale test automation. ...
Also, large-scale simulation and virtualization are required to keep hardware costs low. ...
doi:10.1109/mc.2013.445
fatcat:jwlupxg3jfauhlexpcqhrh5hb4
Lowcomote: Training the Next Generation of Experts in Scalable Low-Code Engineering Platforms
2019
Zenodo
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Lowcomote will train a generation of experts that will upgrade the current trend of LCDP to a new paradigm, Low-Code Engineering Platform. ...
Low-Code Development Platforms (LCDPs) are software development platforms on the Cloud, provided through a Platform-as-a- Service model, which allow users to build completely operational applications by ...
This project has received funding from the EU Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813884. ...
doi:10.5281/zenodo.4314656
fatcat:altv6ih46bdvfesww7hlfk64aa
How to exploit domain knowledge in Multiple Software Product Lines?
2013
2013 4th International Workshop on Product LinE Approaches in Software Engineering (PLEASE)
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Based on two disjoint case studies (digital signage and cloud computing), we identified this challenging problem for the SPL community. ...
In this paper we describe how the domain knowledge needs to be exploited to support a more complete definition of Multiple Software Product Lines (MSPL). ...
and flexible enough for our two case studies. ...
doi:10.1109/please.2013.6608656
dblp:conf/icse/UrliMBC13
fatcat:uazgsziubremdduaode5lw3cki
The state of adoption and the challenges of systematic variability management in industry
2020
Empirical Software Engineering
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Handling large-scale software variability is still a challenge for many organizations. ...
We elicit the needs and challenges expressed for these cases, triangulated with results from a literature review. ...
Acknowledgments We thank all practitioners who participated in the focus group discussions, as well as we thank the anonymous reviewers for very valuable comments to improve the paper. ...
doi:10.1007/s10664-019-09787-6
fatcat:h77ikukjxff2tmprz6d23c37iu
Building a generic platform for big sensor data application
2013
2013 IEEE International Conference on Big Data
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In this paper we explore five key challenges in this field and provide a response through a sensor data platform "Concinnity" which can take sensor data from collection to final product via a data repository ...
The architecture of such a platform is a current research question in the field of Big Data and Smart Cities. ...
ACKNOWLEDGMENT We would like to acknowledge research funding received from the EPSRC through Research Grant EP/H042512/1, "Elastic Sensor Networks: Towards Attention-Based Information Management in Large-Scale ...
doi:10.1109/bigdata.2013.6691559
dblp:conf/bigdataconf/LeeBWSTLYGG13
fatcat:jofvnykv4ff5pbdrltgeh7m7m4
The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research
2017
Cancer Research
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Effectively utilizing digital pathology data in cancer research requires the ability to manage, visualize, share, and perform quantitative analysis on these large amounts of image data, tasks that are ...
Tissue-based cancer studies can generate large amounts of histology data in the form of glass slides. ...
The open-source nature of the DSA and HistomicsTK provides the cancer investigators with a free digital pathology platform, avoiding the need for costly commercial software that is expensive to scale. ...
doi:10.1158/0008-5472.can-17-0629
pmid:29092945
fatcat:io24wwyhofe5lnrqvjsawcgggu
R&D challenges and solutions for highly complex distributed systems: a middleware perspective
2011
Journal of Internet Services and Applications
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In general, configuration decisions are made at multiple time scales, including (1) compile time, when the target platform is compiled for the use case in which it will be used, (2) deployment time, when ...
For example, streaming realtime video requires low jitter and predictable end-toend timeliness properties, which must also scale to large numbers of devices on a network. ...
doi:10.1007/s13174-011-0051-x
fatcat:yezhlj5xwzb2likefdbqj7gq4a
Taming Hybrid-Cloud Fast and Scalable Graph Analytics at Twitter
[article]
2022
arXiv
pre-print
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for efficient, scalable, and reliable graph analytics across on-premises and cloud, to fulfill the requirements of diverse graph use cases and challenging scales. ...
To bring fast and scalable graph analytics capability into production, we investigate the challenges we are facing in large-scale graph analytics at Twitter and propose a unified graph analytics platform ...
ACKNOWLEDGMENT We would like to express our gratitude to everyone who has served in the Twitter Graph Analytics Working Group for their profound insight and dedicated effort. ...
arXiv:2204.11338v1
fatcat:hf3kd4dqbfbopaha2fvo4opd3y
Towards application driven security dashboards in future middleware
2011
Journal of Internet Services and Applications
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We illustrate the concept and approach with an example in the domain of security engineering of a large scale, internet based application in the domain of online document processing. ...
The resulting research findings plead for a research agenda that revisits reflection and that enables model-driven software techniques to be used in the just-in-time generation of co-existing middleware ...
The authors wish to thank Wouter De Borger, Danny Hughes, Sam Michiels, and Stefan Walraven for many fruitful discussions. ...
doi:10.1007/s13174-011-0047-6
fatcat:avrzekd7jrexpdpc5l56rcjiqa
Real World Applications of Machine Learning Techniques over Large Mobile Subscriber Datasets
[article]
2015
arXiv
pre-print
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service personalization and targeted promotions to a distributed Big Data Analytics platform, capable of performing large scale machine learning and data mining to deliver real time service personalization ...
In this paper, we describe our journey from a relational database management system (RDBMS) based campaign management solution which allowed data scientists and marketers to use hand-written rules for ...
We hope that this work will provide practical insights to practitioners for engineering large analytics platforms and expose the data mining research community to novel challenges in productionizing machine ...
arXiv:1502.02215v1
fatcat:zgjpne4cu5hn7pecrgvmq437bi
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