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BCNC 2021: Proceedings of the 1st ACM SIGPLAN International Workshop on Beyond Code: No Code
ACM2021 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SPLASH '21: Software for Humanity Chicago IL USA 17 October 2021
ISBN:
978-1-4503-9125-2
Published:
17 October 2021
Sponsors:
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Abstract

Welcome to the first international workshop on Beyond Code: No Code (BCNC). We are happy to be part of the no-code movement and we hope to shed some light on the applications of no-code in the field of software engineering. We aim to promote academic research into this topic and help shape the future of no-code tools. This workshop is hosted at the SPLASH 2021 conference, 17-22 October 2021, Chicago, Illinois, USA.

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SESSION: Session 1
short-paper
Volatility metric to detect anomalies in source code repositories

A new metric was introduced to calculate the distance between actively modified files in a source code repository and the files, which are rarely modified and may be considered abandoned or even dead. It was empirically demonstrated that larger ...

research-article
Rapid prototyping of chatbots for data exploration

This paper reports on the experience we carried out in the last years for the definition of a model-based technique for the automatic generation of chatbots for data exploration. We illustrate how this technique has been integrated within a no-code ...

research-article
Combining object-oriented paradigm and controlled natural language for requirements specification

Natural language is the dominant form of writing software requirements. Its essential ambiguity causes inconsistency of requirements, which leads to scope creep. On the other hand, formal requirements specification notations such as Z, Petri Nets, SysML,...

SESSION: Session 2
research-article
The pareto distribution of software features and no-code

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.

research-article
Is neural machine translation approach accurate enough for coding assistance?

Coding assistance with deep learning is an emerging concern that has recently attracted much attention in the software development community. To integrate coding assistance with deep learning compactly, we focus on neural machine translation (NMT), ...

research-article
Towards the no-code era: a vision and plan for the future of software development

This paper provides a highly opinionated and biased vision and a two-stage plan with guidelines to reach a new era of software development, where anyone can create software without bothering to write code. Moreover, this paper explores in depth the ...

Contributors
  • Huawei Technologies Co., Ltd.
  • Norwegian University of Science and Technology
  • University of Bologna
  • Carnegie Mellon University
  • Innopolis University

Index Terms

  1. Proceedings of the 1st ACM SIGPLAN International Workshop on Beyond Code: No Code

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