State of the Practice for GIS Software
February 09, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
W. Spencer Smith, Adam Lazzarato, Jacques Carette
arXiv ID
1802.03422
Category
cs.SE: Software Engineering
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We present a reproducible method to analyze the state of software development practices in a given scientific domain and apply this method to Geographic Information Systems (GIS). The analysis is based on grading a set of 30 GIS products using a template of 56 questions based on 13 software qualities. The products range in scope and purpose from a complete desktop GIS systems, to stand-alone tools, to programming libraries/packages. The final ranking of the products is determined using the Analytic Hierarchy Process (AHP), a multicriteria decision making method that focuses on relative comparisons between products, rather than directly measuring qualities. The results reveal concerns regarding the correctness, maintainability, transparency and reproducibility of some GIS software. Three recommendations are presented as feedback to the GIS community: 1) Ensure each project has a requirements specification document, 2) Provide a wealth of support methods, such as an IRC (Internet Relay Chat) channel, a Stack Exchange tag for new questions, or opening the issue tracker for support requests, as well as the more traditional email-based methods, and, 3) Design product websites for maximum transparency (of the development process), for open source projects, provide a developer's guide.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted