The Pareto Distribution of Software Features and No-Code (BCNC 2021 - Beyond Code: No Code) - SPLASH 2021

Sun 17 - Fri 22 October 2021 Chicago, Illinois, United States

Who

Ahmed ElBatanony, Giancarlo Succi

Track

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When

Sun 17 Oct 2021 10:50 - 11:10 at Zurich G - BCNC Session 2 Chair(s): Ahmed ElBatanony, Giancarlo Succi

Abstract

This research analyzes the top-performing software applications to identify the Pareto distribution of the features and accordingly proposes the use of no-code tools to increase the efficiency of software developers.

Link to Publication

https://dl.acm.org/doi/10.1145/3486949.3486964

DOI

https://doi.org/10.1145/3486949.3486964

Ahmed ElBatanony

Innopolis University

Russia

Giancarlo Succi

Innopolis University

Russia

Time Zone

The program is currently displayed in (GMT-05:00) Central Time (US & Canada).

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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).
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Session Program

Sun 17 Oct
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	10:50 - 12:10	BCNC Session 2BCNC at Zurich G Chair(s): Ahmed ElBatanony Innopolis University, Giancarlo Succi Innopolis University

	10:50 20m Full-paper		The Pareto Distribution of Software Features and No-Code BCNC Ahmed ElBatanony Innopolis University, Giancarlo Succi Innopolis University Link to publication DOI
	11:10 20m Talk		Is Neural Machine Translation Approach Accurate Enough for Coding Assistance? BCNC Yuka Akinobu Japan Women's University, Momoka Obara Japan Women's University, Teruno Kajiura Japan Women's University, Shiho Takano Japan Women's University, Miyu Tamura Japan Women's University, Mayu Tomioka Japan Women's University, Kimio Kuramitsu Japan Women's University DOI
	11:30 20m Full-paper		Towards the No-Code Era: A Vision and Plan for the Future of Software Development BCNC Ahmed ElBatanony Innopolis University, Giancarlo Succi Innopolis University Link to publication DOI