Artwork

Innehåll tillhandahållet av iteration podcast, John Jacob, and JP Sio - Web Developers. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av iteration podcast, John Jacob, and JP Sio - Web Developers eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Player FM - Podcast-app
Gå offline med appen Player FM !

Bad Smells in Code

43:35
 
Dela
 

Manage episode 236284510 series 1900125
Innehåll tillhandahållet av iteration podcast, John Jacob, and JP Sio - Web Developers. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av iteration podcast, John Jacob, and JP Sio - Web Developers eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Chapter 3 - Bad Smells in Code

The theme of this chapter: just because you know how to refactor, doesn't mean you know when. This chapter talks about the when.

One thing we won't try to give you is precise criteria for when a refactoring is overdue. In our experience, no set of metrics rivals informed human intuition. What we will do is give you indications that there is trouble that can be solved by a refactoring.

Mysterious Name

  • there can be ambiguity in your naming in many places: variable, class, function, method, database field, etc

Duplicated Code 🔥

  • keep it dry

Long Functions 🔥

  • Since the early days of programming, people have realized that the longer a function is, the more difficult it is to understand

Long Parameter List 🔥

  • long parameter lists can be confusing

Global Data 🔥

  • the problem with global data is that it can be modified from anywhere in the codebase, making it harder to figure out which code touched it should you need to debug it

Mutable Data

  • changes to data often lead to unexpected consequences and tricky bugs
  • mutable data that can be calculated elsewhere is particularly pungent

Divergent Change ✅

  • if you look at a module and say, "well, I will have to change these three functions every time -------- happens" - this is an indication of divergent change
  • divergent change occurs when one module is often changed in different ways for different reasons
  • can be solved with split phase, extract function, extract class, move function

Shotgun Surgery ✅

  • similar to divergent change.
  • every you make a change, you need to make a ton of little edits to a lot of different classes

Feature Envy

  • occurs when a function in one module spends more time communicating with functions or data inside another module than it does within its own.

Data Clumps

  • grouping data together when it really should be it's own object

Primitive Obsession ✅

  • programmers are often hesitant to create their own types and rely only on primitives. i.e. representing a phone number as a string instead of as it's own type

Repeated Switches

  • alleviated with polymorphism

Loops

  • use pipelines instead, i.e. filter, map, each, reduce

Speculative Generality ✅

editor choice

  • can be spotted when the only users of a function or class are a test case. this is a classic case of premature optimization. "we'll eventually want to add this feature..."

Message Chains

  • when a client asks one object for another object, which the client then asks for yet another object, and so on.

Middle Man

  • when you have too much delegation (due to all of your great encapsulating of implementation details)
  • the solution is to delegate directly, cut the middle man

Insider Trading

Large Class ✅

  • class is doing too much

Alternative Classes with Different Interfaces

Data Class

Refused Bequest


Picks:

  continue reading

78 episoder

Artwork

Bad Smells in Code

iteration

113 subscribers

published

iconDela
 
Manage episode 236284510 series 1900125
Innehåll tillhandahållet av iteration podcast, John Jacob, and JP Sio - Web Developers. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av iteration podcast, John Jacob, and JP Sio - Web Developers eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Chapter 3 - Bad Smells in Code

The theme of this chapter: just because you know how to refactor, doesn't mean you know when. This chapter talks about the when.

One thing we won't try to give you is precise criteria for when a refactoring is overdue. In our experience, no set of metrics rivals informed human intuition. What we will do is give you indications that there is trouble that can be solved by a refactoring.

Mysterious Name

  • there can be ambiguity in your naming in many places: variable, class, function, method, database field, etc

Duplicated Code 🔥

  • keep it dry

Long Functions 🔥

  • Since the early days of programming, people have realized that the longer a function is, the more difficult it is to understand

Long Parameter List 🔥

  • long parameter lists can be confusing

Global Data 🔥

  • the problem with global data is that it can be modified from anywhere in the codebase, making it harder to figure out which code touched it should you need to debug it

Mutable Data

  • changes to data often lead to unexpected consequences and tricky bugs
  • mutable data that can be calculated elsewhere is particularly pungent

Divergent Change ✅

  • if you look at a module and say, "well, I will have to change these three functions every time -------- happens" - this is an indication of divergent change
  • divergent change occurs when one module is often changed in different ways for different reasons
  • can be solved with split phase, extract function, extract class, move function

Shotgun Surgery ✅

  • similar to divergent change.
  • every you make a change, you need to make a ton of little edits to a lot of different classes

Feature Envy

  • occurs when a function in one module spends more time communicating with functions or data inside another module than it does within its own.

Data Clumps

  • grouping data together when it really should be it's own object

Primitive Obsession ✅

  • programmers are often hesitant to create their own types and rely only on primitives. i.e. representing a phone number as a string instead of as it's own type

Repeated Switches

  • alleviated with polymorphism

Loops

  • use pipelines instead, i.e. filter, map, each, reduce

Speculative Generality ✅

editor choice

  • can be spotted when the only users of a function or class are a test case. this is a classic case of premature optimization. "we'll eventually want to add this feature..."

Message Chains

  • when a client asks one object for another object, which the client then asks for yet another object, and so on.

Middle Man

  • when you have too much delegation (due to all of your great encapsulating of implementation details)
  • the solution is to delegate directly, cut the middle man

Insider Trading

Large Class ✅

  • class is doing too much

Alternative Classes with Different Interfaces

Data Class

Refused Bequest


Picks:

  continue reading

78 episoder

Alle afleveringen

×
 
Loading …

Välkommen till Player FM

Player FM scannar webben för högkvalitativa podcasts för dig att njuta av nu direkt. Den är den bästa podcast-appen och den fungerar med Android, Iphone och webben. Bli medlem för att synka prenumerationer mellan enheter.

 

Snabbguide

Lyssna på det här programmet medan du utforskar
Spela