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ICSE 2020
Wed 24 June - Thu 16 July 2020
Sat 27 Jun 2020 16:50 - 17:05 at ICSSP-ICGSE - Session 3 Chair(s): Paul Clarke, Marco Gerosa, Fabio Calefato

The collection of high-quality data provides a key competitive advantage to companies in their decision-making process. It helps to understand customer behavior and enables the usage and deployment of new technologies based on machine learning. However, the process from collecting the data, to clean and process it to be used by data scientists and applications is often manual, non-optimized and error-prone. This increases the time that the data takes to deliver value for the business. To reduce this time companies are looking into automation and validation of the data processes. Data processes are the operational side of data analytic workflow. DataOps, a recently coined term by data scientists, data analysts and data engineers refer to a general process aimed to shorten the end-to-end data analytic life-cycle time by introducing automation in the data collection, validation, and verification process. Despite its increasing popularity among practitioners, research on this topic has been limited and does not provide a clear definition for the term or how a data analytic process evolves from ad-hoc data collection to fully automated data analytics as envisioned by DataOps. This research provides three main contributions. First, utilizing multi-vocal literature we provide a definition and a scope for the general process referred to as DataOps. Second, based on a case study with a large mobile telecommunication organization, we analyze how multiple data analytic teams evolve their infrastructure and processes towards DataOps. Also, we provide a stairway showing the different stages of the evolution process. With this evolution model, companies can identify the stage which they belong to and also, can try to move to the next stage by overcoming the challenges they encounter in the current stage

Sat 27 Jun
Times are displayed in time zone: (UTC) Coordinated Universal Time change

15:00 - 18:00: [Joint Event] - ICSSP/ICGSE - Session 3 at ICSSP-ICGSE
Chair(s): Paul Clarke, Marco GerosaNorthern Arizona University, Fabio CalefatoUniversity of Bari


ICGSE Theme: Onboarding and community evolution

ICSSP Theme: Machine Learning, AI and Microservices Architectures

icgse-2020--joint-event----icssp-icgse15:00 - 15:05
Day opening
Paolo TellIT University of Copenhagen, David RaffoPortland State University
icgse-2020-research-papers15:05 - 15:20
Research paper
Kumar AbhinavAccenture Labs, Gurpriya Kaur BhatiaIndraprastha Institute of Information Technology, Delhi, Alpana DubeyAccenture Labs, India, Sakshi JainAccenture, Nitish BhardwajAccenture Technology Labs
icgse-2020-journal-first15:20 - 15:35
icssp-2020-papers15:35 - 15:50
Bo WangUniversity of Southern California, Barry BoehmUniversity of Southern California
icssp-2020-papers15:50 - 16:05
Marian DaunUniversity of Duisburg-Essen, Jennifer BringsUniversity of Duisburg-Essen, Thorsten WeyerUniversity Koblenz-Landau
icssp-2020-papers16:05 - 16:20
James DominicClemson University, Charles RitterClemson University, Paige RodegheroClemson University
icgse-2020-icgse---experience-reports16:20 - 16:35
Experience report
Raquel CunhaSIDIA Institute of Science and Technology, Fernanda SouzaSIDIA Institute of Science and Technology, Franciney LimaSIDIA Institute of Science and Technology, Bruno BonifácioUniversidade Federal do Amazonas - UFAM
icgse-2020-icgse---experience-reports16:35 - 16:50
Experience report
Julian HartyCommercetest Limited
icssp-2020-papers16:50 - 17:05
Aiswarya MunappyChalmers University of Technology, David Issa MattosChalmers University of Technology, Jan Bosch, Helena Holmström OlssonMalmö University, Anas DakkakEricsson
icssp-2020-papers17:05 - 17:20
Hanyan LiuChalmers | University of Gothenburg, Samuel EksmoChalmers | University of Gothenburg, Johan RisbergIBM Sweden, Regina HebigUniversity of Gothenburg
icssp-2020-papers17:20 - 17:35
Meenu Mary JohnMalmö University, Helena Holmström OlssonMalmö University, Jan Bosch