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Needs and Challenges for a Platform to Support Large-scale Requirements Engineering. A Multiple Case Study [article]

Davide Fucci, Cristina Palomares, Dolors Costal, Xavier Franch, Mikko Raatikainen, Martin Stettinger, Zijad Kurtanovic, Tero Kojo, Lars Koenig, Andreas Falkner, Gottfried Schenner, Fabrizio Brasca, Tomi Männistö, Alexander Felfernig (+1 others)
2018 arXiv   pre-print
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]

Krzysztof Wnuk, Björn Regnell, Claes Schrewelius
2009 Lecture Notes in Computer Science  
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

A. J. Bernheim Brush, Jaeyeon Jung, Ratul Mahajan, James Scott
2012 Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp '12  
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

Frederica Darema
2010 Procedia Computer Science  
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

Klaus-Benedikt Schultis, Christoph Elsner, Daniel Lohmann
2014 Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2014  
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

Jerry Gao, Xiaoying Bai, Wei-Tek Tsai, Tadahiro Uehara
2014 Computer  
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

Massimo Tisi, Jean-Marie Mottu, Dimitrios Kolovos, Juan De Lara, Esther Guerra, Davide Di Ruscio, Alfonso Pierantonio, Manuel Wimmer
2019 Zenodo  
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?

Simon Urli, Sebastien Mosser, Mireille Blay-Fornarino, Philippe Collet
2013 2013 4th International Workshop on Product LinE Approaches in Software Engineering (PLEASE)  
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

Thorsten Berger, Jan-Philipp Steghöfer, Tewfik Ziadi, Jacques Robin, Jabier Martinez
2020 Empirical Software Engineering  
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

Chun-Hsiang Lee, David Birch, Chao Wu, Dilshan Silva, Orestis Tsinalis, Yang Li, Shulin Yan, Moustafa Ghanem, Yike Guo
2013 2013 IEEE International Conference on Big Data  
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

David A. Gutman, Mohammed Khalilia, Sanghoon Lee, Michael Nalisnik, Zach Mullen, Jonathan Beezley, Deepak R. Chittajallu, David Manthey, Lee A.D. Cooper
2017 Cancer Research  
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

Jules White, Brian Dougherty, Richard Schantz, Douglas C. Schmidt, Adam Porter, Angelo Corsaro
2011 Journal of Internet Services and Applications  
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]

Chunxu Tang, Yao Li, Zhenxiao Luo, Mainak Ghosh, Huijun Wu, Lu Zhang, Anneliese Lu, Ruchin Kabra, Nikhil Kantibhai Navadiya, Prachi Mishra, Prateek Mukhedkar, Vrushali Channapattan
2022 arXiv   pre-print
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

Wouter Joosen, Bert Lagaisse, Eddy Truyen, Koen Handekyn
2011 Journal of Internet Services and Applications  
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]

Jobin Wilson, Chitharanj Kachappilly, Rakesh Mohan, Prateek Kapadia, Arun Soman, Santanu Chaudhury
2015 arXiv   pre-print
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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