Skip to main content

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index] [List Home]
[polarsys-iwg] Fwd: Online survey on Model-based Software Engineering and Auto-generated Code

To all,

I am forwarding you a survey for assessing the state-of-the-practice and advantages / disadvantages of Model-based Software Engineering and Auto-generated code (see email below for more details). This is part of a NASA funded project whose goal is to assess the state-of-the-practice and advantages / disadvantages of Model-based Software Engineering and Auto-generated code. Part of the assessment will be based on an online survey (https://www.surveymonkey.com/r/mbsweandagc). 

The deadline for the survey is March 31, 2016.
 

Regards,
 
Francis
 
 






FRANCIS BORDELEAU Ph.D. 
Product Manager SW Development 
ITTE 
Group Function BE

Ericsson
8500 Decarie Blvd
Town of Mount Royal, QC, H4P 2N2, Canada
Phone +1 613 716 8783
Mobile +1 613 716 8783
Office +1 514 345 7900
Fax +1 514 345 6167
francis.bordeleau@xxxxxxxxxxxx
www.ericsson.com




 
Legal entity: ERICSSON CANADA INC., registered office in Town of Mount-Royal, Quebec, Canada. This Communication is Confidential. We only send and receive email on the basis of the terms set out at www.ericsson.com/email_disclaimer

Begin forwarded message:



I hope you are doing well. 

I am part of a team that works on NASA funded project whose goal is to assess the state-of-the-practice and advantages / disadvantages of Model-based Software Engineering and Auto-generated code. Part of the assessment will be based on an online survey. 
 
I would appreciate if you could participate in the survey (https://www.surveymonkey.com/r/mbsweandagc) and distribute the call for participation given below among 
colleagues from academia and industry who have experience in this area. 

Thanks a lot for your help. With my best personal regards,
Katerina

-----------------------------------------------
Katerina Goseva-Popstojanova
Professor
Lane Department of Computer Science and Electrical Engineering
West Virginia University
Morgantown, WV 26506-6109

Phone: (304) 293-9691

--------------------------------------------------------------------------------------------------------------------------------------------
Call for participation in an online survey on Model-based Software Engineering and Auto-generated Code
--------------------------------------------------------------------------------------------------------------------------------------------

 

Model-Based Software Engineering (MBSwE) and the use of Auto-Generated Code (AGC) for safety-critical applications have become more and more popular. Typical areas include aerospace, automotive, nuclear, military, and many others. MBSwE with automated code generation is often considered to produce “code with fewer bugs and much faster”.

 

A research team from West Virginia University, NASA Ames Research Center, and NASA Independent Verification and Validation Facility is evaluating the experiences in the use of MBSwE/AGC at NASA and other relevant industry. Part of the evaluation is an online survey that assesses the current state-of-practice, advantages and disadvantages, V&V practices, and certification issues for safety-critical systems that use MBSwE and/or execute code that is generated from models. 

 

The survey can be found at https://www.surveymonkey.com/r/mbsweandagc. The research team would appreciate if you could participate in the survey before March 31st, 2016. Completing the survey is expected to take about 30 minutes. All responses are anonymous, unless you specifically choose to provide personal information and your email address. At completion, the report will be sent to respondents who provide their email addresses during the survey or request the report by sending an e-mail to SurveyMBSwEandAGC@xxxxxxxxx.

 

Please forward this call for participation to your colleagues with experience in this topic. 

If you have any questions, please feel free to contact the research team. Thank you in advance for participating in the survey. 

 

Katerina Goseva-Popstojanova, West Virginia University (Katerina.Goseva@xxxxxxxxxxxx)
Temesghen Kahsai, Carnegie Mellon University/NASA Ames Research Center (temesghen.kahsaiazene@xxxxxxxx)
Matt Knudson, NASA Ames Research Center (matt.knudson@xxxxxxxx)              
Noble Nkwocha, NASA Independent Verification and Validation Facility (Noble.N.Nkwocha@xxxxxxxx)
Johann Schumann, SGT, Inc/ NASA Ames Research Center (johann.m.schumann@xxxxxxxx)




Back to the top