2236824
Project Grant
Overview
Grant Description
Sbir Phase I: Value-Driven Design Debt Management for Contemporary Software Systems -The Broader Impact/Commercial Potential of This Small Business Innovation Research (SBIR) Phase I Project Will Design a Value-Driven Design Debt Management System Applicable to Modern, Distributed, Dynamic Software Systems.
This System Will Pinpoint and Quantify Design Debt and Recommend the Most Effective Debt-Reduction Strategies. This System Will Also Support Risk Analyses for Managers and Designers, Helping Them Choose a Strategy That Prevents Severe Decay in Product Performance, and Maximize Product Value, Productivity, and Quality.
This Small Business Innovation Research (SBIR) Phase I Project Provide a Value-Driven, Design-Debt Management System That (1) Discovers and Empirically Validates Design Debt in Modern Distributed and Dynamically-Typed Software Systems Based on Options Theory, Conway's Law, and Design Principles, Leveraging a Knowledge Graph to Capture and Manage Implicit, Heterogeneous, and Distributed Entities and Relations; (2) Discovers the Intrinsic and Implicit Relations Among Multiple Design Anti-Patterns and Creates an Algorithm to Prioritize and Recommend the Most Effective Debt-Reduction Strategies; and (3) Bridges the Gap Between Development and Management, Enabling a User to Simulate Refactoring Outcomes and Evaluate Their Economic Implications by Combining Monte Carlo Simulation and Datar-Mathews Option Valuations, for Each Proposed Refactoring Strategy.
The Outcome of These Research and Development Activities Will Lead to the First Framework Specialized for Managing Technical Debt at the Design and Architecture Level, Rooted in Financial and Design Theory, and Applicable to Modern Distributed and Dynamically Typed Software Systems.
This Project Has the Potential to Fundamentally Change the Management of Software, Supporting Better Informed, Data Driven Decisions by Focusing on Their Economic Values.
This Award Reflects NSF's Statutory Mission and Has Been Deemed Worthy of Support Through Evaluation Using the Foundation's Intellectual Merit and Broader Impacts Review Criteria.
This System Will Pinpoint and Quantify Design Debt and Recommend the Most Effective Debt-Reduction Strategies. This System Will Also Support Risk Analyses for Managers and Designers, Helping Them Choose a Strategy That Prevents Severe Decay in Product Performance, and Maximize Product Value, Productivity, and Quality.
This Small Business Innovation Research (SBIR) Phase I Project Provide a Value-Driven, Design-Debt Management System That (1) Discovers and Empirically Validates Design Debt in Modern Distributed and Dynamically-Typed Software Systems Based on Options Theory, Conway's Law, and Design Principles, Leveraging a Knowledge Graph to Capture and Manage Implicit, Heterogeneous, and Distributed Entities and Relations; (2) Discovers the Intrinsic and Implicit Relations Among Multiple Design Anti-Patterns and Creates an Algorithm to Prioritize and Recommend the Most Effective Debt-Reduction Strategies; and (3) Bridges the Gap Between Development and Management, Enabling a User to Simulate Refactoring Outcomes and Evaluate Their Economic Implications by Combining Monte Carlo Simulation and Datar-Mathews Option Valuations, for Each Proposed Refactoring Strategy.
The Outcome of These Research and Development Activities Will Lead to the First Framework Specialized for Managing Technical Debt at the Design and Architecture Level, Rooted in Financial and Design Theory, and Applicable to Modern Distributed and Dynamically Typed Software Systems.
This Project Has the Potential to Fundamentally Change the Management of Software, Supporting Better Informed, Data Driven Decisions by Focusing on Their Economic Values.
This Award Reflects NSF's Statutory Mission and Has Been Deemed Worthy of Support Through Evaluation Using the Foundation's Intellectual Merit and Broader Impacts Review Criteria.
Awardee
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Cranberry Township,
Pennsylvania
16066-3349
United States
Geographic Scope
Single Zip Code
Related Opportunity
None
Archdia was awarded
Project Grant 2236824
worth $274,894
from National Science Foundation in May 2023 with work to be completed primarily in Cranberry Township Pennsylvania United States.
The grant
has a duration of 1 year and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I: Value-Driven Design Debt Management for Contemporary Software Systems
Abstract
"The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will design a value-driven design debt management system applicable to modern, distributed, dynamic software systems. This system will pinpoint and quantify design debt and recommend the most eective debt-reduction strategies. This system will also support risk analyses for managers and designers, helping them choose a strategy that prevents severe decay in product performance, and maximize product value, productivity, and quality.
This Small Business Innovation Research (SBIR) Phase I project provide a value-driven, design-debt management system that (1) discovers and empirically validates design debt in modern distributed and dynamically-typed software systems based on options theory, Conway's law, and design principles, leveraging a knowledge graph to capture and manage implicit, heterogeneous, and distributed entities and relations; (2) discovers the intrinsic and implicit relations among multiple design anti-patterns and creates an algorithm to prioritize and recommend the most effective debt-reduction strategies; and (3) bridges the gap between development and management, enabling a user to simulate refactoring outcomes and evaluate their economic implications by combining Monte Carlo simulation and Datar-Mathews option valuations, for each proposed refactoring strategy. The outcome of these research and development activities will lead to the first framework specialized for managing technical debt at the design and architecture level, rooted in financial and design theory, and applicable to modern distributed and dynamically typed software systems. This project has the potential to fundamentally change the management of software, supporting better informed, data driven decisions by focusing on their economic values.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria."
Topic Code
AA
Solicitation Number
NSF 22-551
Status
(Complete)
Last Modified 5/4/23
Period of Performance
5/1/23
Start Date
4/30/24
End Date
Funding Split
$274.9K
Federal Obligation
$0.0
Non-Federal Obligation
$274.9K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2236824
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
Y5BBJKABW1L5
Awardee CAGE
8J2X3
Performance District
16
Senators
Robert Casey
John Fetterman
John Fetterman
Representative
Mike Kelly
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $274,894 | 100% |
Modified: 5/4/23