Software Engineering, Testing, and Quality Assurance
for Natural Language Processing

Program

The list of accepted papers is now out:

• List of Accepted Papers

Why an Engineering Workshop?

Natural language, as an input type, has unique characteristics that present special problems for software testing, quality assurance, and even requirements specification. This workshop will stimulate research in all areas of software engineering for natural language processing. The goals of this workshop include raising awareness of the need for good software engineering practices in NLP, stimulating research on same, and disseminating the results of current work in this area.

The target audience is researchers interested in natural language processing software, including standardization and testing.

Sample Topics

• Patterns for design, coding, refactoring, and unit testing language processing systems
• Test suite design and generation
• Special issues in metrology for natural language processing
• Grammar or other rule-based engineering
• Usability
• Standardization of tools and/or resources
• Design for and evaluation of reliability and robustness
• Scalability issues in training and deployment
• Reusability and toolkit design
• Concurrency and distributed processing for NLP
• Theoretical issues in software engineering for NLP

Program Committee