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New Article: Alternative Sizing Units for Agile Estimation

Alternative Sizing Units for Agile

QSM recently published the fifth article in the QSM Agile Round Table series.  The QSM Agile Round Table was formed to discuss the role of estimation in agile environments.  QSM customers shared their questions, challenges, and experiences on the relevance and benefits of scope-based estimation in an agile environment. This article continues the focus from the previous article on determining size in a consistent enough manner across multiple products, projects, and agile teams so that you have good historical data on which to base an estimate. QSM's Andy Berner looks at other sizing units besides story points, in particular function points and source lines of code. 

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Agile Articles Function Points

New Article: Sizing Agile Projects Consistently

Agile Sizing

QSM is pleased to share the fourth article in the QSM Agile Round Table series.  The QSM Agile Round Table was formed to discuss the role of estimation in agile environments.  QSM customers shared their questions, challenges, and experiences on the relevance and benefits of scope-based estimation in an agile environment. The previous article in this series, “Big Rock Estimation” written by Aaron Jeutter from Rockwell Automation, addressed the question of how to determine the size of a release absent of a “big upfront requirements phase”, and thus when the requirements are only known at a very high level and subject to refinement and change.  The next three articles written by Andy Berner will focus on determining size in a consistent enough manner across multiple products, projects, and agile teams so that you have good historical data on which to base an estimate. They will also show how to apply these techniques with the SLIM Suite of products.

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Articles Agile Sizing

New Article: Leveraging the Power of Historical Data Through the Use of Trend Lines

Size vs. Staffing

Developing software within the DoD presents a unique set of challenges, including but not limited to budget cuts, Congressionally mandated changes, changing software requirements, and so on. It should come as no surprise, therefore, that cost estimators have faced significant challenges when estimating systems in the Defense arena. A recent initiative put forth by the DoD was to improve its estimation process by leveraging historical data collected from forensic analyses of recently completed software development efforts. This article by Taylor Putnam-Majarian and John Staiger, discusses (1) some of the challenges faced throughout this initiative, (2) the data collection process, and (3) how one can leverage data to improve cost estimates. This article was originally published in Crosstalk Magazine.

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Articles Data Database Estimation Government

New Article: Function Point Sampling Holds Promise for Software Metrics

Cone of Uncertainty

As we embark on 2017, which is also the 30th anniversary of IFPUG Bylaws, there are reports that the software development industry is making progress. The 2015 Standish Group CHAOS report cited that agile projects are, on average, three times more likely to be successful than waterfall projects (based on their survey of over 10,000 projects.) The not-so-good news, however, is that the percent of successful projects (defined as on-time, on-budget, and with a satisfactory result) hasn’t changed much since the first CHAOS report in 1996, and hovers around 40%. The top three success factors in the 2015 report were not technical: 1. Executive Support, 2. Emotional Maturity and 3. User Involvement (agile processes ranked #7.) The need for software sizing measures to support project estimating remains just as critical as it was 30 years ago, yet IFPUG function points are not used as extensively as they could be to support software sizing. Rather than “throwing the baby out with the bathwater,” so to speak, or creating new metrics to solve old problems, Carol Dekkers and Joe Madden suggest a new way to repurpose function points to achieve estimating successes today. This article was originally published in IFPUG's Metric Views.

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Function Points Articles Metrics

New Article: How Everyone Can Plan for 2017

2017 IT Budgeting

No one got into software development to budget. Developers love to code and create. If they wanted to create budgets, they’d have become accountants. Still, creating a development plan for 2017 is essential and will inevitably require budgeting and estimating, a process that should be done in partnership with business teams. This will ensure the creation of software that cost-effectively meets their needs. In this article, originally published on SD Times, Doug Putnam identifies three strategies for better budgeting and planning in the new year.

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Articles IT Budgeting

New Article: Common Ground Through PPM

Project Portfolio Planning

The most effective project portfolio planning brings IT managers and business leaders together to prioritize, scope and staff initiatives as a single team with common goals. In doing so, the process fosters better working relationships — and provides a roadmap for delivering value to the organization. In this article for Projects at Work, Larry Putnam, Jr. outlines best practices on how to determine the maximum capabilities that can be delivered within the confines of budgets, resources, and time. 

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The 2017 Software Almanac: Development Research Series

QSM Software Almanac: 2017 Edition

Software plays an increasingly vital role in our everyday lives. It powers everything from autonomous cars and aircraft, life-saving medical equipment, and the data that allows the government to protect our country. When companies develop software, there’s no room for error. 

That’s why software predictive analysis and estimation are still extremely important. Last year, with the release of the 2016 Software Almanac, we learned that the last 35 years of predictive analytics and estimation principles were still incredibly relevant for providing reliable and applicable business intelligence for implementing successful software projects.

This year’s version of QSM’s annual Software Almanac further strengthens those findings. The 2017 Software Almanac builds on the principles identified in last year’s publication and highlights the dangers of not applying predictive analysis and estimation processes.   As stated by Angela Maria Lungu, Almanac Editor and Managing Director at QSM, these principles can be a “double-edged rearview mirror.” If you move forward without applying the historical principles of estimation and analysis correctly, their value is diminished.   Here’s what else you can expect from this year’s Almanac:

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Articles QSM Database

New Article: Big Rock Estimation in Agile

Agile Big Rock Sizing

Big Rock Estimation: Using Agile Techniques to Provide a Rough Software Schedule / Resource Estimate is the third article in the QSM Agile Round Table series.  The QSM Agile Round Table was formed to discuss the role of estimation in agile environments.  QSM customers shared their questions, challenges, and experiences on the relevance and benefits of scope-based estimation in an agile environment.  The Round Table spent several meetings on the key topic of sizing an agile release. The discussion centered around two main questions:

  1. How can you determine the size of a release early in absence of a “big upfront requirements phase,” and thus when the requirements are only known at a very high level and subject to refinement and change?
  2. How can you determine size in a consistent way across multiple products, projects, and agile teams so that you have good historical data on which to base an estimate?

This and the next article in the QSM Agile Round Table series are based on those discussions. Aaron Jeutter, a participant in the Round Table from Rockwell Automation, presented the technique of “Big Rock Sizing.”  This technique is used at Rockwell Automation for early sizing and estimating based on high level requirements that will be refined using agile techniques as the work progresses.

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Articles Agile Estimation

New Article: In Agile, What Should We Estimate?

In Agile, What Should We Estimate?

Instead of debating #YesEstimate vs. #NoEstimates, we can ask a more useful question: “what should we estimate and why?”  To answer this, we need to distinguish between consumable value and potentially deliverable software. Both are useful concepts but for different purposes.  By choosing small enough developer-sized bites, we can time-box potentially deliverable software to get frequent feedback and review.  But a meal that provides consumable value that satisfies our users and customers must consider the tradeoff of benefits to both the business and the consumer.  In the second article of QSM's Agile Round Table series, Andy Berner explains why setting goals for consumable value and estimating what it takes to reach those goals are both needed to guide the choices every organization needs to make about what to develop and how to allocate resources.

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Agile Articles

New Article: Using Software Project Metrics

Compare Project Plan to History

Software measurement by itself does not resolve budget, schedule or staffing issues for projects or portfolios, but it does provide a basis upon which informed decisions can be made. Here are examples of how to use metrics to determine present capabilities, assess whether plans are feasible, and explore trade-offs if they are not. This is the third article of a three part series by QSM's Don Beckett for Projects at Work. You can read the first article here and the second here.

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