December 2016: How Would You Like Your Eggs?
Waters has covered the Agile software methodology consistently over the past two years, but one aspect that we haven’t delved into are the vagaries around the frequency of releases and how firms should go about determining the optimal length of their sprints. It’s a question that all software development entities need to consider carefully. Note that I did not refer to them as software firms or providers, given that almost every capital markets firm develops software in-house for their own end-users, even though their core business is anything but software provision.
Release too early and too often and you end up chasing your tail in a never-ending cycle of impractically short sprints and software updates, a scenario likely to alienate even the most supportive end-users, given the sheer volume and disruption of constant change; or, instead, release too infrequently and you end up mimicking the Waterfall methodology that you most likely jettisoned somewhere along the road to software enlightenment.
A way of illustrating this challenge is by way of eggs. If, for example, a consumer wants an egg a day on an ongoing basis, what’s the best way to ensure that that happens? Do you buy chickens, build a barn, and collect a single egg every morning and deliver it as required? Do you go to the barn weekly and collect a box of seven eggs and deliver that box on the same day each week or whenever it’s most convenient? Do you collect and deliver eggs fortnightly or monthly, and if so, is there a risk that those eggs might go bad before the time comes to consume them? Or do you ditch the barn idea altogether and instead go to a supermarket and procure your eggs that way?
The same principle applies to Agile. Do you release small pieces of functionality on a daily basis? Is that practical, is it necessary, and is that what the consumer wants? Would it be better to release fortnightly? How do you go about determining the right release frequency (cadence) for you as a provider, for your clients as consumers, and significantly also for the products or services you provide? Well, the short answer, like so many things in our industry, is that it depends. Your cadence can and should change according to your clients’ needs, and, to a (slightly) lesser extent, your ability to meet those needs as a provider. In fact, re-evaluating your cadence is crucial to ensuring that the service you provide delivers value to consumers when they want it, and not necessarily when it suits you, the kernel around which pretty much the entire Agile methodology is spun.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
Asset manager Saratoga uses AI to accelerate Ridgeline rollout
The tech provider’s AI assistant helps clients summarize research, client interactions, report generation, as well as interact with the Ridgeline platform.
LSEG rolls out AI-driven collaboration tool, preps Excel tie-in
Nej D’Jelal tells WatersTechnology that the rollout took longer than expected, but more is to come in 2025.
The Waters Cooler: ’Tis the Season!
Everyone is burned out and tired and wants to just chillax in the warm watching some Securities and Exchange Commission videos on YouTube. No? Just me?
It’s just semantics: The web standard that could replace the identifiers you love to hate
Data ontologists say that the IRI, a cousin of the humble URL, could put the various wars over identity resolution to bed—for good.
T. Rowe Price’s Tasitsiomi on the pitfalls of data and the allures of AI
The asset manager’s head of AI and investments data science gets candid on the hype around generative AI and data transparency.
As vulnerability patching gets overwhelming, it’s no-code’s time to shine
Waters Wrap: A large US bank is going all in on a no-code provider in an effort to move away from its Java stack. The bank’s CIO tells Anthony they expect more CIOs to follow this dev movement.
J&J debuts AI data contracts management tool
J&J’s new GARD service will use AI to help data pros query data contracts and license agreements.
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux