Software Analytics and its Impact on Industry

Delft Data Science Seminar

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Registration is now closed!

Free parking is avalaible at Sportscomplex Fortuna

(Schoemakersstraat 340, Delft)

Taking public transport you can use bus 69

(stop Watermanweg)

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The Delft Data Science Seminar: Software Analytics and its Impact on Industry is the newest edition in the series of Delft Data Science seminars organized at TU Delft. These seminars address the challenges and opportunities emerging from large quantities of heterogeneous, complex, networked and dynamic data influencing virtually all socio-economic domains.

We will discuss the latest knowledge and news on software analytics for industry and research.

Software analytics is analytics on software data for managers and software engineers with the aim of empowering software development individiuals and teams to gain and share insight form their data to make better decisions.
Software analytics represents a branch of big data analytics. It is concerned with the analysis of all software artifacts, not only source code. These tiers vary from the higher level of the management board all the way through to implementation by software developers. Thereby, it reflects the broad scope including various stakeholders.

Three international top researchers and two C-level executives of banking and logistics share their stories with you in an afternoon program.

15:00 – 15:10 Arie van Deursen, professor at Delft University of Technology
Kick-off

15:10 – 15:35 Peter Jacobs, Chief Information Officer at ING Nederland

15:35 – 16:00 Claes Wohlin, professor at Blekinge Institute of Technology, Sweden
Are we really ready to do software analytics in software development?

16:00 – 16:25 Magne Jørgensen, professor at University of Oslo and Simula, Norway
Cost and benefits of software development in a uncertain, skewed world

16:25 – 16:40 Break

16:40 – 17:05 Emerson Murphy-Hill, professor at North Carolina State University, USA
Data Analytics to Understand Gender Bias

17:05 – 17:30 Frederieke Ubels, Director IT innovation process at bol.com
Software Analytics @ bol.com: never knew we did it, can’t live without it?

17:30 – 18:00 Drinks & network opportunities

Keynote speakers

Peter Jacobs, Chief Information Officer at ING Netherlands.

Magne Jørgensen, professor at University of Oslo and Simula, Norway.

There can be a high uncertainty in cost and benefits of software development. This talk addresses how the software industry typically analyse and aggregate this uncertainty, and how the way they do it leads to systematic errors due to ignorance (assuming that the world is deterministic), lack of good methods to identify the real

uncertainty, assuming symmetric (non-skewed) uncertainty distributions, and/or not knowing how to add uncertainty. The talk includes evidence-based guidelines on how to properly analyse and aggregate uncertainty of software development cost and benefits.

Emerson Murphy-Hill, professor at North Carolina State University, USA.

With so few women in software engineering, it's critical for organizations to build inclusive cultures where diversity is valued and bias is minimized. But how do organizations know whether they've succeeding built such cultures? In this talk, I discuss analytics we've built to better understand gender bias during code review.

Frederieke Ubels, Director IT innovation-process at bol.com.

If you’d ask an engineer at bol.com how we’re using Software Analytics, you’d probably see a question mark rising above his head. But in the history of IT @ bol.com, metrics play an important role. A role that changes from year to year and that, at the same time, shapes our way of working.

Claes Wohlin, professor at Blekinge Institute of Technology, Sweden.

The presentation will discuss some challenges for software analytics in software development and highlight some areas where it may be more successful than in other areas (at least given the current practice of software development).

Join us on Thursday the 15th of February from 15:00 - 18:00 for the Delft Data Science Seminar - Software Analytics and its Impact on Industry

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