SEMS 2016 (Auditable Spreadsheets – Quick Grab Your Heart Pills)

3rd International Workshop on Software Engineering Methods in Spreadsheets

July 4, 2016 Vienna, Austria

Abstracts due: April 11th (that’s today!)

Papers due: April 22nd

From the webpage:

SEMS is the #1 venue for academic spreadsheet research since 2014 (SEMS’14, SEMS’15). This year, SEMS’16 is going to be co-located with STAF 2016 in Vienna.

Spreadsheets are heavily used in industry as they are easy to create and evolve through their intuitive visual interface. They are often initially developed as simple tools, but, over time, spreadsheets can become increasingly complex, up to the point they become too complicated to maintain. Indeed, in many ways, spreadsheets are similar to “professional” software: both concern the storage and manipulation of data, and the presentation of results to the user. But unlike in “professional” software, activities like design, implementation, and maintenance in spreadsheets have to be undertaken by end-users, not trained professionals. This makes applying methods and techniques from other software technologies a challenging task.

The role of SEMS is to explore the possibilities of adopting successful methods from other software contexts to spreadsheets. Some, like testing and modeling, have been tried before and can be built upon. For methods that have not yet been tried on spreadsheets, SEMS will serve as a platform for early feedback.

The SEMS program will include an industrial keynote, followed by a brainstorming session about the topic, a discussion panel of industrial spreadsheet usage, presentation of short and long research papers and plenty of lively discussions. The intended audience is a mixture of spreadsheet researchers and professionals.

Felienne Hermans pioneered viewing spreadsheets as programming artifacts, a view that can result in easier maintenance and even, gasp, auditing of spreadsheets.

Inspectors General, GAO and other birds of that feather should sign up for this conference.

Remember topic maps for cumulative and customized auditing data. For example, who, by name, was explaining entries that several years later appear questionable? Topic maps can capture as much or as little data as you require.

Attend, submit an abstract today and a paper in two weeks!

Comments are closed.