Entries Tagged as 'Measurement & Analysis'

Improving the Reliability of Expert Opinion within Early Lifecycle Cost Estimation

Measurement & Analysis , Software Cost Estimates No Comments »

By Robert Stoddard,
Senior Member of the Technical Staff
Software Engineering Measurement and Analysis Program

Robert Stoddard As part of our research related to early acquisition lifecycle cost estimation for the Department of Defense (DoD), my colleagues in the SEI’s Software Engineering Measurement & Analysis initiative and I began envisioning a potential solution that would rely heavily on expert judgment of future possible program execution scenarios. Previous to our work on cost estimation, many parametric cost models required domain expert input, but, in our opinion, they did not address alternative scenarios of execution that might occur from Milestone A onward. Our approach, known as Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE), asks domain experts to provide judgment not only on uncertain cost factors for a nominal program execution scenario, but also for the drivers of cost factors across a set of anticipated scenarios. This blog post describes our efforts to improve the accuracy and reliability of expert judgment within this expanded role of early lifecycle cost estimation.

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Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE): An Update

Measurement & Analysis , Software Cost Estimates 6 Comments »

By Dave Zubrow,
Chief Scientist
Software Engineering Process Management Program

Dave ZubrowBy law, major defense acquisition programs are now required to prepare cost estimates earlier in the acquisition lifecycle, including pre-Milestone A, well before concrete technical information is available on the program being developed. Estimates are therefore often based on a desired capability—or even on an abstract concept—rather than a concrete technical solution plan to achieve the desired capability. Hence the role and modeling of assumptions becomes more challenging.  This blog posting outlines a multi-year project on Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE) conducted by the SEI Software Engineering Measurement and Analysis (SEMA) team. QUELCE is a method for improving pre-Milestone A software cost estimates through research designed to improve judgment regarding uncertainty in key assumptions (which we term program change drivers), the relationships among the program change drivers, and their impact on cost.

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High Maturity Software Engineering Measurement and Analysis

CMMI , Measurement & Analysis , Team Software Process (TSP) 2 Comments »

By Dave Zubrow, Manager
Software Engineering Measurement and Analysis Initiative

 

Dave ZubrowThe SEI has been actively engaged in defining and studying high maturity software engineering practices for several years.  Levels 4 and 5 of the CMMI (Capability Maturity Model Integration) are considered high maturity and are predominantly characterized by quantitative improvement. This blog posting briefly discusses high maturity and highlights several recent works in the area of high maturity measurement and analysis, motivated in part by a recent comment on a Jan. 30 post asking about the latest research in this area. I’ve also included links where the published research can be accessed on the SEI website.

 

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A Summary of Key SEI R&D Accomplishments in 2011

Acquisition , Agile , Architecture , Architecture Documentation , Binaries , Cyber-physical Systems , Fuzzy Hashing , Handheld Devices , Malware , Measurement & Analysis , Resilience Management Model (RMM) , Safety-Related Requirements , Security-Related Requirements , Software Cost Estimates , Team Software Process (TSP) , Technical Debt 1 Comment »

By Douglas C. Schmidt
Chief Technology Officer

Douglas C. SchmidtA key mission of the SEI is to advance the practice of software engineering and cyber security through research and technology transition to ensure the development and operation of software-reliant Department of Defense (DoD) systems with predictable and improved quality, schedule, and cost. To achieve this mission, the SEI conducts research and development (R&D) activities involving the DoD, federal agencies, industry, and academia. One of my initial blog postings summarized the new and upcoming R&D activities we had planned for 2011. Now that the year is nearly over, this blog posting presents some of the many R&D accomplishments we completed in 2011.

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Using Predictive Modeling in Software Development: Results from the Field

Measurement & Analysis No Comments »

By Dennis R. Goldenson
Senior Member of the Technical Staff
Software Engineering Measurement and Analysis

Dennis R. GoldensonAs with any new initiative or tool requiring significant investment, the business value of statistically-based predictive models must be demonstrated before they will see widespread adoption. The SEI Software Engineering Measurement and Analysis (SEMA) initiative has been leading research to better understand how existing analytical and statistical methods can be used successfully and how to determine the value of these methods once they have been applied to the engineering of large-scale software-reliant systems. As part of this effort, the SEI hosted a series of workshops that brought together leaders in the application of measurement and analytical methods in many areas of software and systems engineering. The workshops help identify the technical barriers organizations face when they use advanced measurement and analytical techniques, such as computer modeling and simulation. This post focuses on the technical characteristics and quantified results of models used by organizations at the workshops.

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