| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A gamification solution for improving Scrum adoption
|
Marques, Rita
|
|
|
25 |
4 |
p. 2583-2629
|
artikel
|
| 2 |
An approach and benchmark to detect behavioral changes of commits in continuous integration
|
Danglot, Benjamin
|
|
|
25 |
4 |
p. 2379-2415
|
artikel
|
| 3 |
An empirical analysis of error propagation in critical software systems
|
Cinque, Marcello
|
|
|
25 |
4 |
p. 2450-2484
|
artikel
|
| 4 |
An empirical investigation of performance overhead in cross-platform mobile development frameworks
|
Biørn-Hansen, Andreas
|
|
|
25 |
4 |
p. 2997-3040
|
artikel
|
| 5 |
Building the perfect game – an empirical study of game modifications
|
Lee, Daniel
|
|
|
25 |
4 |
p. 2485-2518
|
artikel
|
| 6 |
Characterizing the evolution of statically-detectable performance issues of Android apps
|
Das, Teerath
|
|
|
25 |
4 |
p. 2748-2808
|
artikel
|
| 7 |
Code and commit metrics of developer productivity: a study on team leaders perceptions
|
Oliveira, Edson
|
|
|
25 |
4 |
p. 2519-2549
|
artikel
|
| 8 |
Explicit programming strategies
|
LaToza, Thomas D.
|
|
|
25 |
4 |
p. 2416-2449
|
artikel
|
| 9 |
How does combinatorial testing perform in the real world: an empirical study
|
Hu, Linghuan
|
|
|
25 |
4 |
p. 2661-2693
|
artikel
|
| 10 |
How software engineering research aligns with design science: a review
|
Engström, Emelie
|
|
|
25 |
4 |
p. 2630-2660
|
artikel
|
| 11 |
On (Mis)perceptions of testing effectiveness: an empirical study
|
Vegas, Sira
|
|
|
25 |
4 |
p. 2844-2896
|
artikel
|
| 12 |
PHANTOM: Curating GitHub for engineered software projects using time-series clustering
|
Pickerill, Peter
|
|
|
25 |
4 |
p. 2897-2929
|
artikel
|
| 13 |
RePOR: Mimicking humans on refactoring tasks. Are we there yet?
|
Morales, Rodrigo
|
|
|
25 |
4 |
p. 2960-2996
|
artikel
|
| 14 |
Retraction Note: Retraction note to: The smell of fear: on the relation between test smells and flaky tests
|
Palomba, Fabio
|
|
|
25 |
4 |
p. 3041
|
artikel
|
| 15 |
Software provenance tracking at the scale of public source code
|
Rousseau, Guillaume
|
|
|
25 |
4 |
p. 2930-2959
|
artikel
|
| 16 |
Using machine learning to assist with the selection of security controls during security assessment
|
Bettaieb, Seifeddine
|
|
|
25 |
4 |
p. 2550-2582
|
artikel
|
| 17 |
What am I testing and where? Comparing testing procedures based on lightweight requirements annotations
|
Pudlitz, Florian
|
|
|
25 |
4 |
p. 2809-2843
|
artikel
|
| 18 |
What do Programmers Discuss about Deep Learning Frameworks
|
Han, Junxiao
|
|
|
25 |
4 |
p. 2694-2747
|
artikel
|
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