-
Notifications
You must be signed in to change notification settings - Fork 71
/
MUSE-software.json
executable file
·1393 lines (1393 loc) · 40.3 KB
/
MUSE-software.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
[
{
"DARPA Program": "MUSE",
"Program Teams": [
"University of Colorado"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Hopper",
"Internal Link": "",
"External Link": "https://github.com/cuplv/hopper",
"Public Code Repo": "https://github.com/cuplv/hopper",
"Instructional Material": "",
"Stats": "",
"Description": "The core functionality of Hopper is an engine for refuting queries written in separation logic; that is, showing that no concrete execution can satisfy the query. Hopper performs a form of proof by contradiction: it starts from a query representing a bad program state (such as a null dereference or out-of-bounds array access) and works backward in an attempt to derive false.",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Scala",
"Java"
],
"Platform Requirements": [
"Java 7",
"sbt 0.1"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Java",
"Android"
],
"Categories": [
"Software Analysis"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Georgia Institute of Technology"
],
"Contributors": [
"Georgia Institute of Technology"
],
"Sub-contractors": [
"LogicBlox, Inc",
"University of California-Los Angeles"
],
"Software": "Petablox",
"Internal Link": "",
"External Link": "http://petablox.gatech.edu",
"Public Code Repo": "https://bitbucket.org/pag-lab/petablox.git",
"Instructional Material": "",
"Stats": "",
"Description": "A system that integrates foundational program analyses of large Java and C/C++ programs with a Datalog-centric database for storing and querying the results of those analyses.",
"Internal Code Repo": "",
"License": [
"BSDv3"
],
"Languages": [
"Java",
"C",
"C++"
],
"Platform Requirements": [
"Linux"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Software Analysis Tool",
"Big Code Database and Query Engine",
"Constraint Solver"
],
"Categories": [
"Software Analysis"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Kestrel Institute"
],
"Contributors": [
""
],
"Sub-contractors": [
"UT Austin",
"Kookamara, LLC"
],
"Software": "Program Synthesis Tools in ACL2",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Public Code Repo:2016-02",
"Instructional Material": "",
"Stats": "",
"Description": "Provides facilities for carrying out automated program refinement in ACL2 via proof-generating transformations. (ACL2)",
"Internal Code Repo": "Kestrel Institute's 'kestrel-acl2' SVN repository",
"License": [
"BSDv3"
],
"Languages": [
"ACL2"
],
"Platform Requirements": [
"Linux or Mac OS X",
"Clozure Common Lisp"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Program Specification and Refinement"
],
"Categories": [
"Analytics"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Kestrel Institute"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "SOFT (Second-Order Functions and Theorems)",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "https://github.com/acl2/acl2/blob/master/books/tools/soft.lisp (part of the ACL2 GitHub repository)",
"Instructional Material": "",
"Stats": "",
"Description": "SOFT provides facilities for mimicking second-order functions and theorems in the first-order logic of the ACL2 theorem prover. (ACL2)",
"Internal Code Repo": "",
"License": [
"BSDv3"
],
"Languages": [
"ACL2"
],
"Platform Requirements": [
"Linux or Mac OS X",
"Clozure Common Lisp"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Formal Modeling",
"Theorem Proving",
"Program Specification and Refinement"
],
"Categories": [
"Analytics"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Kestrel Institute"
],
"Contributors": [
"(See http://www.cs.utexas.edu/users/moore/acl2/manuals/current/manual/index.html?topic=ACL2____ACKNOWLEDGMENTS)"
],
"Sub-contractors": [
"UT Austin",
"Kookamara, LLC"
],
"Software": "ACL2",
"Internal Link": "",
"External Link": "http://www.cs.utexas.edu/users/moore/acl2/",
"Public Code Repo": "https://github.com/acl2/acl2",
"Instructional Material": "",
"Stats": "",
"Description": "ACL2 is a logic and programming language in which you can model computer systems, together with a tool to help you prove properties of those models. 'ACL2' denotes 'A Computational Logic for Applicative Common Lisp'. ACL2 is part of the Boyer-Moore family of provers, for which its authors have received the 2005 ACM Software System Award. (ACL2, Common Lisp)",
"Internal Code Repo": "",
"License": [
"BSDv3"
],
"Languages": [
"ACL2",
"Common Lisp"
],
"Platform Requirements": [
"Linux, Mac, or Windows on top of any of six Common Lisp implementations: Allegro Common Lisp (ACL), Clozure Common Lisp (CCL), CMU Common\nLisp (CMUCL), GNU Common Lisp (GCL), LispWorks, or Steel Bank Common\nLisp (SBCL)"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Theorem Prover",
"Proof Assistant",
"Formal Methods",
"Formal Verification",
"Software Verification",
"Hardware Verification",
"Static Analysis"
],
"Categories": [
"Software Analysis"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Kestrel Institute"
],
"Contributors": [
"Stanford University",
"UT Austin",
"Eric Smith"
],
"Sub-contractors": [
""
],
"Software": "Formal Model of the Java Virtual Machine (JVM)",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Public Code Repo:2016-02",
"Instructional Material": "",
"Stats": "",
"Description": "A formal, executable model of the Java Virtual Machine (JVM) in the logic of the ACL2 theorem prover, suitable for proof, testing, symbolic execution, etc. (ACL2)",
"Internal Code Repo": "Kestrel Institute's 'kestrel-acl2' SVN repository",
"License": [
"BSDv3"
],
"Languages": [
"ACL2"
],
"Platform Requirements": [
"Linux or Mac OS X",
"Clozure Common Lisp"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Formal Modeling",
"Theorem Proving",
"Java Modeling"
],
"Categories": [
"Software Analysis"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Kestrel Institute"
],
"Contributors": [
"Stanford University",
"Eric Smith"
],
"Sub-contractors": [
""
],
"Software": "Axe tool",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Public Code Repo:2016-02",
"Instructional Material": "",
"Stats": "",
"Description": "Axe is an automated formal verification tool for proving equivalence of Java bytecode programs. Axe has been used to verify real-world Java implementations of cryptographic operations, including block ciphers, stream ciphers, and cryptographic hash functions. Axe proves the bit-for-bit equivalence of the outputs of two programs, one of which may be a formal, mathematical specification. (ACL2)",
"Internal Code Repo": "Kestrel Institute's 'kestrel-acl2' SVN repository",
"License": [
"BSDv3"
],
"Languages": [
"ACL2"
],
"Platform Requirements": [
"Linux or Mac OS X",
"Clozure Common Lisp"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Theorem Prover",
"Formal Methods",
"Formal Verification",
"Software Verification",
"Hardware Verification",
"Equivalence Checking",
"Cryptography"
],
"Categories": [
"Software Analysis"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Kestrel Institute"
],
"Contributors": [
""
],
"Sub-contractors": [
"Qadium, Inc"
],
"Software": "CVXPY",
"Internal Link": "",
"External Link": "http://www.cvxpy.org/",
"Public Code Repo": "https://github.com/cvxgrp/cvxpy",
"Instructional Material": "",
"Stats": "",
"Description": "CVXPY is a Python-embedded modeling language for convex optimzation problems. It allows you to express your problem in a natural way that follows the math, rather than in the restrictive standard form required by solvers. (Python)",
"Internal Code Repo": "",
"License": [
"GPLv3"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Not Applicable"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Convex Optimization"
],
"Categories": [
"Analytics"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Leidos"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "LODE",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Yet Available",
"Instructional Material": "",
"Stats": "",
"Description": "LODE provides the ability to download publicly available open source software(OSS) along with any associated metadata related to the OSS such as commit history, languages, and bug reports. It also extracts and stores further metadata from the software. (Node.js, JavaScript, CoffeScript",
"Internal Code Repo": "http://muse-stash/scm/cor/github-crawler.git",
"License": [
"GPR"
],
"Languages": [
"Node.js",
"JavaScript",
"CoffeScript"
],
"Platform Requirements": [
"64-bit Linux"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Crawler",
"Open Source",
"Github"
],
"Categories": [
"Software Corpus"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Leidos"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "LODEsearch",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Yet Available",
"Instructional Material": "",
"Stats": "",
"Description": "LODEsearch is a flexible web application framework that allows the user to search and filter projects in a software corpus at very granular level. It leverages ElasticSearch on the backend to make searching associated metadata and code fast and efficient. It allows provides top level metrics of all the projects in the associated software corpus. (Angular.js, Express.js, JavaScript, HTML, CSS)",
"Internal Code Repo": "http://muse-stash/scm/cor/musesite.git",
"License": [
"GPR"
],
"Languages": [
"Angular.js",
"Express.js",
"JavaScript",
"HTML",
"CSS"
],
"Platform Requirements": [
"64-bit Linux"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
"Not Applicable"
],
"Functionality": [
"Web Application",
"HTML",
"Open Source",
"ElasticSearch"
],
"Categories": [
"Software Corpus"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"MIT CSAIL"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Prophet",
"Internal Link": "",
"External Link": "https://github.mit.edu/fanl/prophet",
"Public Code Repo": "https://github.mit.edu/fanl/prophet",
"Instructional Material": "",
"Stats": "",
"Description": "A novel patch generation system that works with a set of successful human patches obtained from open-source software repositories to learn a probabilistic, application-independent model of correct code. (C++, Python)",
"Internal Code Repo": "Not Applicable",
"License": [
"MIT"
],
"Languages": [
"C++",
"Python"
],
"Platform Requirements": [
"Linux Ubuntu 14.04"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Program Repair"
],
"Categories": [
"Analytics"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"MIT CSAIL"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "DemoMatch",
"Internal Link": "ssh://kuat@chai.csail.mit.edu/~/Documents/semeru",
"External Link": "",
"Public Code Repo": "",
"Instructional Material": "",
"Stats": "",
"Description": "Automatic code synthesis from program demonstrations. (Java)",
"Internal Code Repo": "ssh://kuat@chai.csail.mit.edu/~/Documents/semeru password = Pyctinceb3 (This is the machine we set up for the evaluation)",
"License": [
"GPL"
],
"Languages": [
"Java"
],
"Platform Requirements": [
"Linux Ubuntu 14.04"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Program synthesis"
],
"Categories": [
"Analytics"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"MIT CSAIL"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Sketch",
"Internal Link": "",
"External Link": "https://bitbucket.org/gatoatigrado/sketch-frontend/wiki/Home",
"Public Code Repo": "https://bitbucket.org/gatoatigrado/sketch-frontend/overview",
"Instructional Material": "",
"Stats": "",
"Description": "A synthesis-enabled language that allows programmers to write programs with holes and then rely on constraint-based synthesis to discover the missing code. (Java)",
"Internal Code Repo": "",
"License": [
"MIT",
"BSD"
],
"Languages": [
"Java"
],
"Platform Requirements": [
"Java 1.6.0 or later installed"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Program synthesis"
],
"Categories": [
"Analytics"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"SRI International",
"MIT",
"University of Washington",
"University of Waterloo"
],
"Contributors": [
"SRI International",
"MIT",
"University of Washington",
"University of Waterloo"
],
"Sub-contractors": [
"MIT",
"University of Washington",
"University of Waterloo"
],
"Software": "PASCALI",
"Internal Link": "https://github.com/SRI-CSL/PASCALI (private repo)",
"External Link": "https://github.com/SRI-CSL/pascali-public",
"Public Code Repo": "https://github.com/SRI-CSL/pascali-public",
"Instructional Material": "",
"Stats": "",
"Description": "PASCALI is a programmer assistant for Java programmers. (Java, Python)",
"Internal Code Repo": "",
"License": [
"TBD"
],
"Languages": [
"Java",
"Python"
],
"Platform Requirements": [
"Linux Ubuntu"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
"Software"
],
"Functionality": [
"Java Programming"
],
"Categories": [
"Analytics"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Rice University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "PDB v0.1.1",
"Internal Link": "https://wiki.rice.edu/confluence/pages/viewpage.action?pageId=17736840",
"External Link": "",
"Public Code Repo": "Not Yet Available",
"Instructional Material": "",
"Stats": "",
"Description": "PDB is a distributed database and compute platform. This is the first, single-threaded version of the system. (C++)",
"Internal Code Repo": "https://svn.rice.edu/r/software_0/PDB/v0.1.1",
"License": [
"Not Applicable"
],
"Languages": [
"C++"
],
"Platform Requirements": [
"C++ compiler with C++14 support"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
"Software Engineering"
],
"Functionality": [
"Distributed Object Store"
],
"Categories": [
"Database"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Rice University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "PDB v0.1.2",
"Internal Link": "https://wiki.rice.edu/confluence/pages/viewpage.action?pageId=17738255",
"External Link": "",
"Public Code Repo": "Not Yet Available",
"Instructional Material": "",
"Stats": "",
"Description": "PDB is a distributed database and compute platform. This is the first, multi-threaded version of the system. (C++)",
"Internal Code Repo": "https://svn.rice.edu/r/software_0/PDB/v0.1.2/",
"License": [
"Not Applicable"
],
"Languages": [
"C++"
],
"Platform Requirements": [
"C++ compiler with C++14 support"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
"Software Engineering"
],
"Functionality": [
"Distributed Object Store"
],
"Categories": [
"Database"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Rice University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "PDB v0.1.3",
"Internal Link": "https://wiki.rice.edu/confluence/display/PLINY/PDB+Version+0.1.3",
"External Link": "",
"Public Code Repo": "Not Yet Available",
"Instructional Material": "",
"Stats": "",
"Description": "PDB is a distributed database and compute platform. This is the first client-server version of the system. Open source release of this software is planned for May 2016",
"Internal Code Repo": "https://svn.rice.edu/r/software_0/PDB/v0.1.2/",
"License": [
"ALv2"
],
"Languages": [
"C++"
],
"Platform Requirements": [
"C++ compiler with C++14 support"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
"Software Engineering"
],
"Functionality": [
"Distributed Object Store"
],
"Categories": [
"Database"
],
"New Date": "20160323",
"Update Date": ""
},
{
"DARPA Program": "MUSE",
"Program Teams": [
"Rice University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Salento",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Yet Available",
"Instructional Material": "",
"Stats": "",
"Description": "Salento is a system for statistical learning of API specifications from Big Code. The system uses static analysis of Big Code to generate a large number of sequences that capture orderings and constraints over API calls in program executions. A new class of statistical learning algorithms are then used to find patterns in these sequences. These learned models can be used to guide programmers who are in the process of using an API, and to repair and synthesize API-intensive code. Open source release of this software is planned for May 2016. (Java, C++)",
"Internal Code Repo": "",
"License": [
"EPL"
],
"Languages": [
"Java",
"C++"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
"Software"
],
"Functionality": [
"Big Code",
"Specification Learning",
"Program synthesis",
"Program repair"
],
"Categories": [
"Specification Mining",
"API call prediction",
"API usage repair"
],
"New Date": "20160323",
"Update Date": ""
},
{