Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The true scope is unknowable, a priori
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > The true scope is unknowable, a priori
CRM

The true scope is unknowable, a priori

Editor SDC
Editor SDC
6 Min Read
SHARE

The best question asked this week: What, exactly, are you trying to prove?

Reg, nailing it as usual.

Hey, I am not blaming customers. They don’t know what they want because nobody really knows what the optimum finished software looks like before development begins. Not the Customer, not the Developers, and not even the “Architects,” “Product Managers,” “Business Analysts” or anybody else who think they are a requirements expert.

Software development is a process of discovery, for the customer, for management, and for development. As information is acquired—through inquiry, inspection, or experience gained from misadventure—our understanding of what we are trying to accomplish is refined. In that respect, every tool, be it a programming language, a development process, or a testing practice, must be judged for its contribution to the transformation of both the requirements and the software over time.

Yes. And that’s why processes designed around a priori assumptions about either the nature of the so-called “software development lifecycle”, or the knowability of scope, will probably never cease to make our lives miserable and …

More Read

From Obama to the Earth, Please Vote Again
All-Channel Marketing Is NOT Omni-Channel Marketing
The Web’s Seven Key Channels for 2011
Do not underestimate the need for automation in decision making
Enterprise 2.0 and Collaboration: Come on, HR!

The best question asked this week: What, exactly, are you trying to prove?

Reg, nailing it as usual.

Hey, I am not blaming customers. They don’t know what they want because nobody really knows what the optimum finished software looks like before development begins. Not the Customer, not the Developers, and not even the “Architects,” “Product Managers,” “Business Analysts” or anybody else who think they are a requirements expert.

Software development is a process of discovery, for the customer, for management, and for development. As information is acquired—through inquiry, inspection, or experience gained from misadventure—our understanding of what we are trying to accomplish is refined. In that respect, every tool, be it a programming language, a development process, or a testing practice, must be judged for its contribution to the transformation of both the requirements and the software over time.

Yes. And that’s why processes designed around a priori assumptions about either the nature of the so-called “software development lifecycle”, or the knowability of scope, will probably never cease to make our lives miserable and fail to achieve their stated goals. The analogy to “building a bridge” (or a skyscraper, or whatever) — perhaps even the overall analogy linking the creation of software to engineering — seems flawed. The physical laws of the universe constrain a customer, requesting the design and construction of a physical object, from changing their mind about the scope very often, and they can almost never make fundamental changes (“Oh, but we want the skyscraper to have 20 more floors”) downstream. The physical laws of the universe get in the way. Software is thoughtstuff. Those same physical laws do not apply (at least not in the same way or to the same degree). Customers can, and do, change their minds on a near constant basis, including changes in the fundamental nature of the thing under construction. They get away with this because they can, and they know it. Many of the “process” ideas that have grown up to support the idea of “software engineering” can be seen, from this perspective, as attempts to constrain the design and construction of software in such a way that the situation becomes analogous to that of physical objects.

Are we supposed to be surprised that customers resist this? Whether they’ve bought into the software engineering analogy or not, they will still strive fiercely — almost instinctively — to exercise all options open to them to change their minds.

Can we make “the process of discovery” that Reg describes “rigorous”? Can we make software in such a way that we’re not simply making it up as we go along? Perhaps. But no process that fails to acknowledge the core aspects of its steps and participants can ever really be successful. Thus, it behooves us to find a way to make the malleability of software and the unknowability of scope (a priori) first class artifacts in our processes.

“Agile” has balkanized, and the individual cults have — in some cases — become religions that are just as bad as the things they intended to replace. But at the outset, the interesting thing about “agile” (the only interesting thing about it, in my opinion) was that it was an attempt to acknowledge this reality, to address it explicitly, to deal with it. That was a good idea. We should keep striving away at it.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

POSH spice – tastes good to me

1 Min Read

Outages: Cloud Customers Cry Out for Communication

5 Min Read

The Guy Kawasaki Twitter Bump – Anderson Analytics Facebook Application

3 Min Read

BI Vendors Use Communities to Serve Customers

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?