language:
- en
license: mit
task_categories:
- text-generation
configs:
- config_name: fm
data_files:
- split: train
path: data/fm/train-*
- split: test
path: data/fm/test-*
- split: validation
path: data/fm/validation-*
- config_name: fm_indented
data_files:
- split: train
path: data/fm_indented/train-*
- split: test
path: data/fm_indented/test-*
- split: validation
path: data/fm_indented/validation-*
- config_name: fm+t
data_files:
- split: train
path: data/fm+t/train-*
- split: test
path: data/fm+t/test-*
- split: validation
path: data/fm+t/validation-*
- split: generate
path: data/fm+t/generate-*
- config_name: fm+fc
data_files:
- split: train
path: data/fm+fc/train-*
- split: test
path: data/fm+fc/test-*
- split: validation
path: data/fm+fc/validation-*
- config_name: fm+fc+t+tc
data_files:
- split: train
path: data/fm+fc+t+tc/train-*
- split: test
path: data/fm+fc+t+tc/test-*
- split: validation
path: data/fm+fc+t+tc/validation-*
- split: generate
path: data/fm+fc+t+tc/generate-*
- config_name: fm+fc+c
data_files:
- split: train
path: data/fm+fc+c/train-*
- split: test
path: data/fm+fc+c/test-*
- split: validation
path: data/fm+fc+c/validation-*
- config_name: fm+fc+c+t+tc
data_files:
- split: train
path: data/fm+fc+c+t+tc/train-*
- split: test
path: data/fm+fc+c+t+tc/test-*
- split: validation
path: data/fm+fc+c+t+tc/validation-*
- split: generate
path: data/fm+fc+c+t+tc/generate-*
- config_name: fm+fc+c+m
data_files:
- split: train
path: data/fm+fc+c+m/train-*
- split: test
path: data/fm+fc+c+m/test-*
- split: validation
path: data/fm+fc+c+m/validation-*
- config_name: fm+fc+c+m+t+tc
data_files:
- split: train
path: data/fm+fc+c+m+t+tc/train-*
- split: test
path: data/fm+fc+c+m+t+tc/test-*
- split: validation
path: data/fm+fc+c+m+t+tc/validation-*
- split: generate
path: data/fm+fc+c+m+t+tc/generate-*
- config_name: fm+fc+c+m+f
data_files:
- split: train
path: data/fm+fc+c+m+f/train-*
- split: test
path: data/fm+fc+c+m+f/test-*
- split: validation
path: data/fm+fc+c+m+f/validation-*
- config_name: fm+fc+c+m+f+t+tc
data_files:
- split: train
path: data/fm+fc+c+m+f+t+tc/train-*
- split: test
path: data/fm+fc+c+m+f+t+tc/test-*
- split: validation
path: data/fm+fc+c+m+f+t+tc/validation-*
- split: generate
path: data/fm+fc+c+m+f+t+tc/generate-*
- config_name: t
data_files:
- split: train
path: data/t/train-*
- split: test
path: data/t/test-*
- split: validation
path: data/t/validation-*
- split: generate
path: data/t/generate-*
- config_name: t_indented
data_files:
- split: train
path: data/t_indented/train-*
- split: test
path: data/t_indented/test-*
- split: validation
path: data/t_indented/validation-*
- split: generate
path: data/t_indented/generate-*
- config_name: t+tc
data_files:
- split: train
path: data/t+tc/train-*
- split: test
path: data/t+tc/test-*
- split: validation
path: data/t+tc/validation-*
- split: generate
path: data/t+tc/generate-*
dataset_info:
- config_name: fm
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 4696431
num_examples: 7440
- name: test
num_bytes: 642347
num_examples: 1017
- name: validation
num_bytes: 662917
num_examples: 953
download_size: 2633268
dataset_size: 6001695
- config_name: fm+fc
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 5387123
num_examples: 7440
- name: test
num_bytes: 738049
num_examples: 1017
- name: validation
num_bytes: 757167
num_examples: 953
download_size: 2925807
dataset_size: 6882339
- config_name: fm+fc+c
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 5906873
num_examples: 7440
- name: test
num_bytes: 820149
num_examples: 1017
- name: validation
num_bytes: 824441
num_examples: 953
download_size: 3170873
dataset_size: 7551463
- config_name: fm+fc+c+m
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 11930672
num_examples: 7440
- name: test
num_bytes: 1610045
num_examples: 1017
- name: validation
num_bytes: 1553249
num_examples: 953
download_size: 5406454
dataset_size: 15093966
- config_name: fm+fc+c+m+f
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 12722890
num_examples: 7440
- name: test
num_bytes: 1713683
num_examples: 1017
- name: validation
num_bytes: 1654607
num_examples: 953
download_size: 5753116
dataset_size: 16091180
- config_name: fm+fc+c+m+f+t+tc
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 18218367
num_examples: 7440
- name: test
num_bytes: 2454151
num_examples: 1017
- name: validation
num_bytes: 2502379
num_examples: 953
- name: generate
num_bytes: 1915177
num_examples: 1017
download_size: 8717371
dataset_size: 25090074
- config_name: fm+fc+c+m+t+tc
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 17426149
num_examples: 7440
- name: test
num_bytes: 2350513
num_examples: 1017
- name: validation
num_bytes: 2401021
num_examples: 953
- name: generate
num_bytes: 1811539
num_examples: 1017
download_size: 8624984
dataset_size: 23989222
- config_name: fm+fc+c+t+tc
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 11402350
num_examples: 7440
- name: test
num_bytes: 1560617
num_examples: 1017
- name: validation
num_bytes: 1672213
num_examples: 953
- name: generate
num_bytes: 1021643
num_examples: 1017
download_size: 6175964
dataset_size: 15656823
- config_name: fm+fc+t+tc
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 10882600
num_examples: 7440
- name: test
num_bytes: 1478517
num_examples: 1017
- name: validation
num_bytes: 1604939
num_examples: 953
- name: generate
num_bytes: 939543
num_examples: 1017
download_size: 5926176
dataset_size: 14905599
- config_name: fm+t
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 8859676
num_examples: 7440
- name: test
num_bytes: 1203645
num_examples: 1017
- name: validation
num_bytes: 1332986
num_examples: 953
- name: generate
num_bytes: 702248
num_examples: 1017
download_size: 5065578
dataset_size: 12098555
- config_name: fm_indented
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 5054397
num_examples: 7440
- name: test
num_bytes: 692948
num_examples: 1017
- name: validation
num_bytes: 714462
num_examples: 953
download_size: 2703115
dataset_size: 6461807
- config_name: t
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 4286329
num_examples: 7440
- name: test
num_bytes: 578148
num_examples: 1017
- name: validation
num_bytes: 685835
num_examples: 953
- name: generate
num_bytes: 76751
num_examples: 1017
download_size: 2483161
dataset_size: 5627063
- config_name: t+tc
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 5618561
num_examples: 7440
- name: test
num_bytes: 757318
num_examples: 1017
- name: validation
num_bytes: 863538
num_examples: 953
- name: generate
num_bytes: 218344
num_examples: 1017
download_size: 3052841
dataset_size: 7457761
- config_name: t_indented
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 4576493
num_examples: 7440
- name: test
num_bytes: 619508
num_examples: 1017
- name: validation
num_bytes: 730409
num_examples: 953
- name: generate
num_bytes: 83585
num_examples: 1017
download_size: 2503838
dataset_size: 6009995
tags:
- unit test
- java
- code
Dataset Description
Microsoft created the methods2test dataset, consisting of Java Junit test cases with its corresponding focal methods. It contains 780k pairs of JUnit test cases and focal methods which were extracted from a total of 91K Java open source project hosted on GitHub.
This is smaller subset of the assembled version of the methods2test dataset. It provides convenient access to the different context levels based on the raw source code (e.g. newlines are preserved). The test cases and associated classes are also made available. The subset is created by randomly selecting only one sample from each of the 91k projects.
The mapping between test case and focal methods are based heuristics rules and Java developer's best practice.
More information could be found here:
Dataset Schema
t: <TEST_CASE>
t+tc: <TEST_CASE> <TEST_CLASS_NAME>
fm: <FOCAL_METHOD>
fm+fc: <FOCAL_CLASS_NAME> <FOCAL_METHOD>
fm+fc+c: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS>
fm+fc+c+m: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS> <METHOD_SIGNATURES>
fm+fc+c+m+f: <FOCAL_CLASS_NAME> <FOCAL_METHOD> <CONTRSUCTORS> <METHOD_SIGNATURES> <FIELDS>
Focal Context
- fm: this representation incorporates exclusively the source code of the focal method. Intuitively, this contains the most important information for generating accurate test cases for the given method.
- fm+fc: this representations adds the focal class name, which can provide meaningful semantic information to the model.
- fm+fc+c: this representation adds the signatures of the constructor methods of the focal class. The idea behind this augmentation is that the test case may require instantiating an object of the focal class in order to properly test the focal method.
- fm+fc+c+m: this representation adds the signatures of the other public methods in the focal class. The rationale which motivated this inclusion is that the test case may need to invoke other auxiliary methods within the class (e.g., getters, setters) to set up or tear down the testing environment.
- fm+fc+c+m+f : this representation adds the public fields of the focal class. The motivation is that test cases may need to inspect the status of the public fields to properly test a focal method.
The different levels of focal contexts are the following:
T: test case
t+tc: test case + test class name
FM: focal method
fm+fc: focal method + focal class name
fm+fc+c: focal method + focal class name + constructor signatures
fm+fc+c+m: focal method + focal class name + constructor signatures + public method signatures
fm+fc+c+m+f: focal method + focal class name + constructor signatures + public method signatures + public fields
Limitations
The original authors validate the heuristics by inspecting a statistically significant sample (confidence level of 95% within 10% margin of error) of 97 samples from the training set. Two authors independently evaluated the sample, then met to discuss the disagreements. We found that 90.72% of the samples have a correct link between the test case and the corresponding focal method
Contribution
All thanks to the original authors.