USA flag logo/image

An Official Website of the United States Government

A LANGUAGE - INDEPENDENT DESIGN ABSTRACTOR AND TREE BASED CONVERTER FOR A…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
10376
Program Year/Program:
1990 / SBIR
Agency Tracking Number:
10376
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Xinotech Research, Inc.
1313 Fifth Street Se Suite 213 Minneapolis, MN 55414
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1990
Title: A LANGUAGE - INDEPENDENT DESIGN ABSTRACTOR AND TREE BASED CONVERTER FOR A PROGRAMMING ENVIRONMENT
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $60,000.00
 

Abstract:

XIONTECH HAS RESEARCHED AND DEVELOPED TECHNOLOGY FOR LANGUAGE-BASED, LANGUAGE-INDEPENDENT, GRAMMAR-GENERATED INTERACTIVE PROGRAM COMPOSITION. THIS TECHNOLOGY IS COMMERCIALLY AVAILABLE FOR ADA, CMS-2 AND OTHER LANGUAGES. THE OBJECTIVE OF THE PROPOSED RESEARCH IS TO USE THIS TECHNOLOGY TO BUILD A LANGUAGE-INDEPENDENT SYSTEM FOR REVERSE ENGINEERING. IT WILL INCLUDE AN EMBEDDED DESIGN LANGUAGE XDL, A DESIGN ABSTRACTOR XDA, AND A TREE-BASED CONVERTER XTC. XDA AND XTC WILL BE INDEPENDENT OF SOURCE AND DESTINATION LANGUAGES. XDA DESTINATIONS WILL BE PDL'S (INCLUDING XDL) AND EXISTING GRAPHICAL DESIGN TOOLS. THESE TOOLS WILL BE BUILT ON A LAYER OF REVERSE ENGINEERING FUNCTIONS SUCH AS CONNECTIVITY, DATA-FLOW AND CONTROLFLOW ANALYZERS, WHICH MAY BE USED TO IMPLEMENT MAINTENANCE TOOLS SUCH AS RIPPLE-EFFECT DETECTORS AND PROGRAM SLICERS. THE REVERSE FUNCTIONAL LAYER WILL BE IMPLEMENTED ON TOP OF THE LANGUAGEINDEPENDENT ARCHITECTURE, ENHANCED BY A NOTATION FOR THE FORMAL SPECIFICATION OF SEMANTICS NEEDED TO SPECIFY SCOPING, NAME RESOLUTION, DBMS ACCESS, DATA AND CONTROL FLOW, AND MULTIPASS ATTRIBUTE EVALUATION TO FACILITATE CONVERSION. THIS WILL BE IMPLEMENTED FIRST FOR CMS-2, ADA AND CMS-2 TO ADA CONVERSION.

Principal Investigator:

Romel Rivera
6123793844

Business Contact:

Small Business Information at Submission:

Xiontech Research
1313 - 5th St Ne/ste 213 Minneapolis, MN 55414

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No