{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T05:24:22Z","timestamp":1749792262487},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Computing"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s00607-020-00822-9","type":"journal-article","created":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T14:03:10Z","timestamp":1591365790000},"page":"1409-1417","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Software-driven big data analytics"],"prefix":"10.1007","volume":"102","author":[{"given":"Rajiv","family":"Ranjan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimo","family":"Villari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitrios","family":"Georgeakopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,5]]},"reference":[{"key":"822_CR1","doi-asserted-by":"publisher","DOI":"10.1201\/9781315270685","volume-title":"Speed, data, and ecosystems: excelling in a software-driven world. Chapman & Hall\/CRC Innovations in Software Engineering and Software Development Series","author":"J Bosch","year":"2017","unstructured":"Bosch J (2017) Speed, data, and ecosystems: excelling in a software-driven world. Chapman & Hall\/CRC Innovations in Software Engineering and Software Development Series. CRC Press, Danvers, MA"},{"issue":"2","key":"822_CR2","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1287\/mnsc.2017.2960","volume":"65","author":"LG Branstetter","year":"2018","unstructured":"Branstetter LG, Drev M, Kwon N (2018) Get with the program: software-driven innovation in traditional manufacturing. Manage Sci 65(2):541\u2013558","journal-title":"Manage Sci"},{"key":"822_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08581-4","volume-title":"Green in software engineering","author":"C Calero","year":"2015","unstructured":"Calero C, Piattini M (2015) Green in software engineering. Springer, Cham"},{"key":"822_CR4","unstructured":"Chasty C (2013) Forget the smart city... start with the smart workplace. https:\/\/www.wired.com\/insights\/2013\/11\/forget-the-smart-city-start-with-the-smart-workplace\/. Accessed 24 May 2020"},{"key":"822_CR5","doi-asserted-by":"publisher","unstructured":"Chen L, Zhang N, Sun HM, Chang CC, Yu S, Choo KKR (2020) Secure search for encrypted personal health records from big data NoSQL databases in cloud. Computing 102(6): https:\/\/doi.org\/10.1007\/s00607-019-00762-z","DOI":"10.1007\/s00607-019-00762-z"},{"issue":"2","key":"822_CR6","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11036-013-0489-0","volume":"19","author":"M Chen","year":"2014","unstructured":"Chen M, Mao S, Liu Y (2014) Big data: a survey. Mob Netw Appl 19(2):171\u2013209","journal-title":"Mob Netw Appl"},{"issue":"2","key":"822_CR7","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.pmcj.2006.12.001","volume":"3","author":"DJ Cook","year":"2007","unstructured":"Cook DJ, Das SK (2007) How smart are our environments? An updated look at the state of the art. Pervasive Mob Comput 3(2):53\u201373","journal-title":"Pervasive Mob Comput"},{"key":"822_CR8","unstructured":"Dickinson R (2015) Using software for sustainability. https:\/\/en.muddyboots.com\/news\/view\/using-software-for-sustainability. Accessed 24 May 2020"},{"issue":"5","key":"822_CR9","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1109\/MS.2018.3571228","volume":"35","author":"C Ebert","year":"2018","unstructured":"Ebert C (2018) 50 years of software engineering: progress and perils. IEEE Softw 35(5):94\u2013101","journal-title":"IEEE Softw"},{"issue":"4","key":"822_CR10","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MS.2017.100","volume":"34","author":"C Ebert","year":"2017","unstructured":"Ebert C, Counsell S (2017) Toward software technology 2050. IEEE Softw 34(4):82\u201388","journal-title":"IEEE Softw"},{"key":"822_CR11","doi-asserted-by":"crossref","unstructured":"Fiore S, D\u2019Anca A, Elia D, Palazzo C, Williams D, Foster I, Aloisio G (2014) Ophidia: a full software stack for scientific data analytics. In: Proceedings of the 12th international conference on high performance computing & simulation (HPCS 2014), IEEE Press, Bologna, Italy, pp 343\u2013350","DOI":"10.1109\/HPCSim.2014.6903706"},{"key":"822_CR12","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1038\/s41551-019-0426-z","volume":"3","author":"WJ Gordon","year":"2019","unstructured":"Gordon WJ, Stern AD (2019) Challenges and opportunities in software-driven medical devices. Nat Biomed Eng 3:493\u2013497","journal-title":"Nat Biomed Eng"},{"key":"822_CR13","doi-asserted-by":"publisher","unstructured":"Guo R, Xue E, Zhang F, Zhao G, Qu G (2020) Optimizing the confidence bound of count-min sketches to estimate the streaming big data query results more precisely. Computing 102(6). https:\/\/doi.org\/10.1007\/s00607-018-00695-z","DOI":"10.1007\/s00607-018-00695-z"},{"key":"822_CR14","doi-asserted-by":"publisher","unstructured":"Gupta D, Ahlawat AK, Sharma A, Rodrigues JJPC (2020) Feature selection and evaluation for software usability model using modified moth-flame optimization. 102(6). https:\/\/doi.org\/10.1007\/s00607-020-00809-6","DOI":"10.1007\/s00607-020-00809-6"},{"issue":"8","key":"822_CR15","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1145\/1536616.1536632","volume":"52","author":"A Jacobs","year":"2009","unstructured":"Jacobs A (2009) The pathologies of big data. Commun ACM 52(8):36\u201344","journal-title":"Commun ACM"},{"issue":"7","key":"822_CR16","doi-asserted-by":"publisher","first-page":"2561","DOI":"10.1016\/j.jpdc.2014.01.003","volume":"74","author":"K Kambatla","year":"2014","unstructured":"Kambatla K, Kollias G, Kumar V, Grama A (2014) Trends in big data analytics. J Parallel Distrib Comput 74(7):2561\u20132573","journal-title":"J Parallel Distrib Comput"},{"key":"822_CR17","doi-asserted-by":"publisher","unstructured":"Kaur N, Sood SK, Verma P (2020) Cloud resource management using 3Vs of Internet of Big data streams. Computing 102(6). https:\/\/doi.org\/10.1007\/s00607-019-00732-5","DOI":"10.1007\/s00607-019-00732-5"},{"issue":"2\/3","key":"822_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1147\/JRD.2014.2298134","volume":"58","author":"CS Li","year":"2014","unstructured":"Li CS, Brech BL, Crowder S, Dias DM, Franke H, Hogstrom M, Lindquist D, Pacifici G, Pappe S, Rajaraman B, Rao J, Ratnaparkhi RP, Smith RA, Williams MD (2014) Software defined environments: an introduction. IBM J Res Dev 58(2\/3):1\u201311","journal-title":"IBM J Res Dev"},{"key":"822_CR19","doi-asserted-by":"crossref","unstructured":"Li Z, Seco D, Rodr\u00edguez AES (2019) Microservice-oriented platform for internet of big data analytics: a proof of concept. Sensors 19(5), article no. 1134","DOI":"10.3390\/s19051134"},{"key":"822_CR20","unstructured":"Liu T (2019) Liu Tieyan talks about machine learning: there are too many easy followers, we need to reflect. https:\/\/www.msra.cn\/zh-cn\/news\/features\/tie-yan-liu-machine-learning. Accessed 24 May 2020"},{"key":"822_CR21","doi-asserted-by":"crossref","unstructured":"Madhavji NH, Miranskyy A, Kontogiannis K (2015) Big picture of big data software engineering: with example research challenges. In: Proceedings of the 1st international workshop on big data software engineering (BIGDSE 2015), IEEE Press, Florence, Italy, pp 11\u201314","DOI":"10.1109\/BIGDSE.2015.10"},{"key":"822_CR22","doi-asserted-by":"crossref","unstructured":"Al-Jaroodi J, Hollein B, Mohamed N (2017) Applying software engineering processes for big data analytics applications development. In: Proceedings of the IEEE 7th annual computing and communication workshop and conference (CCWC 2017), IEEE Press, Las Vegas, NV, USA, pp 1\u20137","DOI":"10.1109\/CCWC.2017.7868456"},{"issue":"4","key":"822_CR23","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/MS.2018.110154908","volume":"35","author":"B Penzenstadler","year":"2018","unstructured":"Penzenstadler B, Duboc L, Venters CC, Betz S, Seyff N, Wnuk K, Chitchyan R, Easterbrook SM, Becker C (2018) Software engineering for sustainability: find the leverage points!. IEEE Softw 35(4):22\u201333","journal-title":"IEEE Softw"},{"key":"822_CR24","first-page":"3","volume-title":"ASSRI 2015, ASSRI 2017: service research and innovation. Lecture Notes in Business Information Processing","author":"F Rabhi","year":"2018","unstructured":"Rabhi F, Bandara M, Namvar A, Demirors O (2018) Big data analytics has little to do with analytics. In: Beheshti A, Hashmi M, Dong H, Zhang WE (eds) ASSRI 2015, ASSRI 2017: service research and innovation. Lecture Notes in Business Information Processing, vol 234. Springer, Cham, pp 3\u201317"},{"issue":"3","key":"822_CR25","first-page":"365","volume":"20","author":"RD Roberts","year":"2016","unstructured":"Roberts RD (2016) Why software really will eat the world\u2014and whether we should worry. Indep Rev 20(3):365\u2013368","journal-title":"Indep Rev"},{"key":"822_CR26","unstructured":"Sachs R (2016) The mind as computer metaphor: Benson and the mistaken application of mental steps to software (part 3). https:\/\/www.bilskiblog.com\/2016\/04\/the-mind-as-computer-metaphor-benson-and-the-mistaken-application-of-mental-steps-to-software-part-3\/. Accessed 24 May 2020"},{"issue":"6","key":"822_CR27","first-page":"715A","volume":"57","author":"ML Salit","year":"1985","unstructured":"Salit ML, Parsons ML (1985) Software-driven instrumentation: the new wave. Anal Chem 57(6):715A\u2013729A","journal-title":"Anal Chem"},{"key":"822_CR28","unstructured":"Spinellis D (2017) Future trends and research priorities in the area of software technologies. A report prepared for EU DG Communications Networks, Content and Technology PO 30-CE-0751856\/00-91, European Commission, available online: https:\/\/ec.europa.eu\/digital-single-market\/en\/news\/future-trends-and-research-priorities-area-software-technologies. Accessed 24 May 2020"},{"key":"822_CR29","unstructured":"Stewart M (2019) The future of computation for machine learning and data science. https:\/\/towardsdatascience.com\/the-future-of-computation-for-machine-learning-and-data-science-fad7062bc27d. Accessed 24 May 2020"},{"key":"822_CR30","first-page":"11","volume-title":"ICSOB 2019: software business. Lecture Notes in Business Information Processing","author":"X Wang","year":"2019","unstructured":"Wang X (2019) Why the rise of software startup research: an insider\u2019s view. In: Hyrynsalmi S, Suoranta M, Nguyen-Duc A, Tyrv\u00e4inen P, Abrahamsson P (eds) ICSOB 2019: software business. Lecture Notes in Business Information Processing, vol 370. Springer, Cham, pp 11\u201318"},{"key":"822_CR31","doi-asserted-by":"publisher","unstructured":"Xu D, Ma Y, Yan J, Liu P, Chen L (2020) Spatial-feature data cube for spatiotemporal remote sensing data processing and analysis. Computing 102(6). https:\/\/doi.org\/10.1007\/s00607-018-0681-y","DOI":"10.1007\/s00607-018-0681-y"},{"key":"822_CR32","doi-asserted-by":"publisher","unstructured":"Yang CT, Wan TY (2020) Implementation of an energy saving cloud infrastructure with virtual machine power usage monitoring and live migration on OpenStack. Computing 102(6). https:\/\/doi.org\/10.1007\/s00607-020-00808-7","DOI":"10.1007\/s00607-020-00808-7"},{"key":"822_CR33","doi-asserted-by":"crossref","unstructured":"Yuan J, Gao F, Ho Q, Dai W, Wei J, Zheng X, Xing EP, Liu TY, Ma WY (2015) LightLDA: Big topic models on modest computer clusters. In: Proceedings of the 24th international conference on world wide web (WWW 2015), International World Wide Web Conferences Steering Committee, Florence, Italy, pp 1351\u20131361","DOI":"10.1145\/2736277.2741115"},{"key":"822_CR34","doi-asserted-by":"crossref","unstructured":"Zhao Q, Zhang B, Feng W, Du Z, Zhang H, Sun D (2020) Long-term real time object tracking based on multi-scale local correlation filtering and global re-detection. Computing 102(6). https:\/\/doi.org\/10.1007\/s00607-020-00807-8#citeas","DOI":"10.1007\/s00607-020-00807-8"},{"key":"822_CR35","doi-asserted-by":"crossref","unstructured":"Zhu X, Song B, Ni Y, Ren Y, Li R (2016) Software defined anything-from software-defined hardware to software defined anything. In: Business trends in the digital era. Springer, Cham, pp 83\u2013103","DOI":"10.1007\/978-981-10-1079-8_5"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-020-00822-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-020-00822-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-020-00822-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,4]],"date-time":"2021-06-04T23:49:16Z","timestamp":1622850556000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-020-00822-9"}},"subtitle":["Guest editors\u2019 introduction"],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":35,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["822"],"URL":"https:\/\/doi.org\/10.1007\/s00607-020-00822-9","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]},"assertion":[{"value":"5 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}