Software engineering for big data projects: Domains, methodologies and gaps
作者： Vijay Dipti Kumar , Paulo Alencar
DOI: 10.1109/BIGDATA.2016.7840938
关键词:
摘要: Context: Big data has become the new buzzword in information and communication technology industry. Researchers major corporations are looking into big applications to extract maximum value from available them. However, developing maintaining stable scalable is still a distant milestone. Objective: To look at existing research on how software engineering concepts, namely phases of development project life cycle (SDPLC), can help build better application projects. Method: A literature survey was performed. manual search covered papers returned by engines resulting approximately 2,000 being searched 170 selected for review. Results: The results helped identifying rich projects that have potential utilize successfully. review exploring SDPLC context performing gap analysis yet see detailed efforts but deserve attention.
sci-hub.se 参考文章(174)
Magnus Westerlund, Ulf Hedlund, Göran Pulkkis, Kaj-Mikael Björk, A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud world conference on information systems and technologies. pp. 559- 569 ,(2014) , 10.1007/978-3-319-05951-8_53
Cyril Cecchinel, Sébastien Mosser, Philippe Collet, Software Development Support for Shared Sensing Infrastructures: A Generative and Dynamic Approach Lecture Notes in Computer Science. pp. 221- 236 ,(2014) , 10.1007/978-3-319-14130-5_16
A. Vinay, Vinay S. Shekhar, J. Rituparna, Tushar Aggrawal, K.N. Balasubramanya Murthy, S. Natarajan, Cloud Based Big Data Analytics Framework for Face Recognition in Social Networks Using Machine Learning Procedia Computer Science. ,vol. 50, pp. 623- 630 ,(2015) , 10.1016/J.PROCS.2015.04.095
Building Open Environments to Meet Big Data Challenges in Earth Sciences CRC Press. pp. 83- 104 ,(2014) , 10.1201/B16524-7
Jacek Dajda, Grzegorz Dobrowolski, Architecture Dedicated to Data Integration Intelligent Information and Database Systems. pp. 179- 188 ,(2015) , 10.1007/978-3-319-15702-3_18
Artem Chebotko, Andrey Kashlev, Shiyong Lu, A Big Data Modeling Methodology for Apache Cassandra 2015 IEEE International Congress on Big Data. pp. 238- 245 ,(2015) , 10.1109/BIGDATACONGRESS.2015.41
George Suciu, Ciprian Dobre, Victor Suciu, Gyorgy Todoran, Alexandru Vulpe, Anca Apostu, Cloud Computing for Extracting Price Knowledge from Big Data complex, intelligent and software intensive systems. pp. 314- 317 ,(2015) , 10.1109/CISIS.2015.44
Lei Deng, Jerry Gao, Chandrasekar Vuppalapati, Building a Big Data Analytics Service Framework for Mobile Advertising and Marketing international conference on big data. pp. 256- 266 ,(2015) , 10.1109/BIGDATASERVICE.2015.27
Rose Paquet Kinsley, Jason Portenoy, Perspectives of Emerging Museum Professionals on the Role of Big Data in Museums hawaii international conference on system sciences. pp. 2075- 2084 ,(2015) , 10.1109/HICSS.2015.249
Nan Li, Anthony Escalona, Yun Guo, Jeff Offutt, A Scalable Big Data Test Framework international conference on software testing verification and validation. pp. 1- 2 ,(2015) , 10.1109/ICST.2015.7102619