Open source platform

Built on Chrome’s Javascript runtime V8

 written in javascript & using CLI

$ npm install <package-name>

vs

Flat

Nested

A@1.0.0
|
+-- B@1.0.0
|   |
|   `-- D@1.0.0
|              
`-- C@1.0.0    
    |          
    `-- D@1.0.0

A@1.0.0
|
+-- B@1.0.0
|
+-- C@1.0.0
|
`-- D@1.0.0

A@1.0.0
|
+-- B@1.0.0
|   |
|   `-- D@1.0.0 \
|                \
`-- C@1.0.0       > Conflict?
    |            /
    `-- D@2.0.0 /

 Semantic Versioning 2

 MAJOR.MINOR.PATCH

Package.json

​"dependencies": {
    "primus": "*",
    "async": "~0.8.0", // >= 0.8.0 < 0.9.0
    "express": "4.2.x", // >=4.2.0 < 5.0.0
    "vows": "^0.7.0", // >=0.7.0 < 1.0.0
    "assume": "<1.0.0 || >=2.3.1 <2.4.5 || >=2.5.2 <3.0.0",
    "winston": "git://github.com/flatiron/winston#master",
    "bigpipe": "bigpipe/pagelet",
    "plates": "https://github.com/flatiron/plates/tarball/master"
}

Dependency Tree

Dependency Tree

Dependency Tree

Dependency Tree

Model

Get the graph

by a Breadth First Search

 

Used 10 most starred modules, 10 most depended upon modules and 10 random modules as roots.

 We explored over 90% of the packages in NPM registry.

 http://registry.npmjs.org/MOD_NAME/VERSION

RQ1

What is the redundancy percentage in each node?

A@1.0.0
|
+-- B@1.0.0
|   |
|   `-- D@1.0.0 \
|                \
`-- C@1.0.0       > Redundancy
    |            /
    `-- D@1.0.0 /

Find multiple routes

Using DFS

A@0.1

C@0.3

B@0.9

 According to the results, about 52% of the NPM modules

have zero duplicate and roughly 90% of the packages have

less than a hundred duplicates. 75% of the modules have less

than 15 duplicates in their sub-tree.

RQ2

 How long it takes for each module to update their

dependencies after an update in one of the dependencies?

Group the versions

Express

For each release of each module

 Average of propagation time

71.6

days

 Average of maximum propagation time

82.4

days

RQ3

 What are the common patterns in dependency tree

evolution and which changes have more contribution

in future bugs?

 150 packages

 based on the number dependents and availability of their git repository

•  A- add action – Shows if a dependency has been added to the package’s direct dependencies
•   D- delete action – Shows if a dependency has been deleted from the package’s direct dependencies
•   W- wide action – Shows if a dependency required version range became wider
•   N- narrow action – Shows if a dependency required version range became narrower
•   S- skip action – Shows if a dependency release has skipped (one or more releases of the dependency never adopted by the module)
•   R- release action – Shows if the current change, includes a new minor release
•   X- fix action – Shows if the current commit is a bug fixing commit

For Each release

the number of each action -> future bugs

 logistic regression model

 Ordinary Least Squares (OLS) multiple regression

RQ4

 How NPM Packages follow semantic versioning

rules?

 npm view <package-name> versions
 npm install <package-name>@<version>

•  At least one function was present in the previous release and it is not in the new release
•  The number of parameters of at least one function is less than the number of parameters of the same function in the previous release

Breaking changes

Naive approach

Limitations

•  Global state and behavior
•  Return type
•  Object parameter
•  Variable number of parameters

var f = function (options) {
    // options.name
    // options.age
}

f({
    name: 'Amir',
    age: 25
})

 Object parameter

var f = function () {
    // arguments.length
    // argument[0], argument[1], ...
}

Variable number of args

 25

random packages

from the most dependent upon packages

 semver-breaking vs naive-breaking

naive-breaking covered 50% of semver-breaking

 In average

 43%

of releases of package were breaking within the same major number.

Conclusion

 Duplicate in dependency tree

 Big portion of the packages have small amount of duplicates
 More than half of the packages have zero duplicates

Update ripple effect

 

Three metrics. Distribution of the propagation time in each metric.

measured how many days it takes to a package update after one of its direct dependencies updated.

Common evolutionary patterns

 

categorized the changes at commit level.

Seven types of changes.

Contribution of each type in fixing future bugs.

Misusing of  semantic versioning

 

Automated naive approach to detect breaking changes

to find a lower-bound for misusing semantic versioning in NPM.