Download Agile!: The Good, the Hype and the Ugly by Bertrand Meyer PDF

By Bertrand Meyer

Are you attracted via the guarantees of agile tools yet cast off through the fanaticism of many agile texts? do you want to understand which agile concepts paintings, which of them don't subject a lot, and which of them will damage your tasks? then you definitely desire Agile!: the 1st exhaustive, goal evaluate of agile rules, ideas and tools.

Agile equipment are the most vital advancements in software program during the last many years, but additionally a shocking mixture of the simplest and the worst. in the past each venture and developer needed to deal with the great rules from the undesirable by means of themselves. This e-book spares you the ache. It bargains either an intensive descriptive presentation of agile thoughts and a perceptive research in their advantages and limitations.

Agile! serves first as a primer on agile improvement: one bankruptcy every one introduces agile ideas, roles, managerial practices, technical practices and artifacts. A separate bankruptcy analyzes the 4 significant agile equipment: severe Programming, Lean software program, Scrum and Crystal.

The accompanying serious research explains what you have to hold and discard from agile principles. it really is in accordance with Meyer’s thorough realizing of software program engineering, and his large own adventure of programming and undertaking administration. He highlights the constraints of agile tools in addition to their actually terrific contributions — even these to which their very own authors don't do complete justice.

Three very important chapters precede the middle dialogue of agile principles: an summary, serving as a focus of the total ebook; a dissection of the highbrow units utilized by agile authors; and a assessment of classical software program engineering thoughts, similar to standards research and lifecycle types, which agile equipment criticize.

The ultimate chapters describe the precautions corporation should still take in the course of a transition to agile improvement and current an total evaluate of agile ideas.

This is the 1st booklet to debate agile equipment, past the brouhaha, within the normal context of recent software program engineering. it's a key source for initiatives that are looking to mix the easiest of verified effects and agile ideas.

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Additional resources for Agile!: The Good, the Hype and the Ugly

Sample text

If verbally communicated requirements were truly superior to written ones, engineering of any kind could discard such old-hat techniques as design specifications and plans, relying instead on frequent interactions between engineers and other stakeholders. After all, our forebears did build pyramids and cathedrals that way. But modern engineering is possible precisely because the build- ? 1 ers of houses, bridges, aircraft, circuits — and software — do not stop at a friendly chat and a handshake, but insist on consigning the specifications on paper and having all sides endorse the result.

The senselessness of the intended lesson should not hide the gems of wisdom that the anecdote contains, even if they are not what the author emphasizes. Let us start with the attempted argument. Its first problem is that it follows a form of logic that appears worryingly often in the software literature (particularly but not exclusively in agile books): proof by anecdote. An anecdote is not a proof; as we saw in the preface, ← “Analysis: all it can prove is that a generalization does not hold.

2 THE TOP SEVEN RHETORICAL TRAPS I tried to imagine the kind of circumstance that might draw one to issue such a definitive indictment of an entire industry. You can find the result in a “postscript” to this chapter. Software engineering faces enough obstacles, obvious to anyone in the industry and to any user of software products, that we do not need to conjure up imaginary scandals. ”, page 30. The Standish episode also reminds us of the dangers of exaggeration — of either kind, aghast at others’ failures or boastful of one’s own triumphs — and of software engineering’s dire need for sound, credible empirical results.

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