Formal Methods: From Academia to Industrial Practice. A Travel Guide

02/17/2020
by   Marieke Huisman, et al.
0

For many decades, formal methods are considered to be the way forward to help the software industry to make more reliable and trustworthy software. However, despite this strong belief and many individual success stories, no real change in industrial software development seems to be occurring. In fact, the software industry itself is moving forward rapidly, and the gap between what formal methods can achieve and the daily software-development practice does not appear to be getting smaller (and might even be growing). In the past, many recommendations have already been made on how to develop formal-methods research in order to close this gap. This paper investigates why the gap nevertheless still exists and provides its own recommendations on what can be done by the formal-methods-research community to bridge it. Our recommendations do not focus on open research questions. In fact, formal-methods tools and techniques are already of high quality and can address many non-trivial problems; we do give some technical recommendations on how tools and techniques can be made more accessible. To a greater extent, we focus on the human aspect: how to achieve impact, how to change the way of thinking of the various stakeholders about this issue, and in particular, as a research community, how to alter our behaviour, and instead of competing, collaborate to address this issue.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

04/08/2021

On The Gap Between Software Maintenance Theory and Practitioners' Approaches

The way practitioners perform maintenance tasks in practice is little kn...
08/01/2019

Set-Based Models for Cryptocurrency Software

Emin Gün Sirer once said: It's clear that writing a robust, secure smart...
07/12/2021

Formal Methods in Railways: a Systematic Mapping Study

Formal methods are mathematically-based techniques for the rigorous deve...
06/11/2003

Concrete uses of XML in software development and data analysis

XML is now becoming an industry standard for data description and exchan...
03/30/2019

Estimation and Prediction of technical debt: a proposal

Technical debt is a metaphor used to convey the idea that doing things i...
05/12/2021

SoK: Practical Foundations for Spectre Defenses

Spectre vulnerabilities violate our fundamental assumptions about archit...
10/09/2017

Grand Challenges of Traceability: The Next Ten Years

In 2007, the software and systems traceability community met at the firs...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.