Challenges when Applying Repertory Grid Technique for Software Practices (EASE 2021) - EASE 2021

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Mon 21 - Thu 24 June 2021

Who

Diana Kirk, Kelly Blincoe

Track

Time Zone

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When

Tue 22 Jun 2021 09:22 - 09:45 at Zoom - Human and Methodological Chair(s): Nelly Condori-Fernández

Link to Preprint

https://www.researchgate.net/publication/352371691_Challenges_when_Applying_Repertory_Grid_Technique_for_Software_Practices

Diana Kirk

The University of Auckland

Kelly Blincoe

University of Auckland

New Zealand

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

Use conference time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, ViennaSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Tue 22 Jun
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	09:00 - 10:30	Human and MethodologicalVision and Emerging Results Track / EASE 2021 at Zoom Chair(s): Nelly Condori-Fernández University of A Coruña/ Vrije Universiteit Amsterdam

	09:00 22m Vision and Emerging Results		Towards Offensive Language Detection and Reduction in Four Software Engineering Communities Vision and Emerging Results Track Jithin Cheriyan University of Otago, Bastin Tony Roy Savarimuthu University of Otago, Dunedin, New Zealand, Stephen Cranefield University of Otago Pre-print
	09:22 23m Full-paper		Challenges when Applying Repertory Grid Technique for Software Practices EASE 2021 Diana Kirk The University of Auckland, Kelly Blincoe University of Auckland Pre-print
	09:45 22m Full-paper		Development and Application of Sentiment Analysis Tools in Software Engineering: A Systematic Literature Review EASE 2021 A: Martin Obaidi Leibniz Universität Hannover, Jil Klünder Leibniz Universität Hannover Pre-print
	10:07 23m Vision and Emerging Results		Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems Vision and Emerging Results Track Phuong T. Nguyen University of L’Aquila, Davide Di Ruscio University of L'Aquila, Juri Di Rocco University of L'Aquila, Claudio Di Sipio University of L'Aquila, Massimiliano Di Penta University of Sannio, Italy Pre-print