Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
ESEML: Empirical Softare Engineering Modeling L...
Search
Bruno Cartaxo
October 22, 2012
Research
0
68
ESEML: Empirical Softare Engineering Modeling Language
Bruno Cartaxo
October 22, 2012
Tweet
Share
More Decks by Bruno Cartaxo
See All by Bruno Cartaxo
Mestrado e Doutorado em Computação - UTFPR
brunocartaxo
0
20
Mestrado e Doutorado - Tempest
brunocartaxo
0
26
MESTRADO E DOUTORADO: Que danado é isso? Devo fazer?
brunocartaxo
0
70
RAPID REVIEW IN SOFTWARE ENGINEERING: Making Scientific Evidence Relevant To Practitioners
brunocartaxo
0
46
Rapid Reviews in Software Engineering
brunocartaxo
0
69
DO BRASIL À CHINA, PASSANDO POR CINCO CONTINENTES: COMO PESQUISAR ME ABRIU AS PORTAS PARA O MUNDO
brunocartaxo
0
44
SOFTWARE ENGINEERING RESEARCH COMMUNITY VIEWPOINTS ON RAPID REVIEWS
brunocartaxo
1
150
KNOWLEDGE AND TECHNOLOGY TRANSFER BETWEEN RESEARCH AND PRACTICE IN SOFTWARE ENGINEERING - LINE OF RESEARCH AND VISIONS
brunocartaxo
1
67
O Impacto das Novas Tecnologias na Prática Jurídica
brunocartaxo
0
190
Other Decks in Research
See All in Research
引力・斥力を制御可能なランダム部分集合の確率分布
wasyro
0
210
SSII2025 [TS1] 光学・物理原理に基づく深層画像生成
ssii
PRO
4
3.9k
SSII2025 [TS3] 医工連携における画像情報学研究
ssii
PRO
2
1.2k
90 分で学ぶ P 対 NP 問題
e869120
18
7.7k
「どう育てるか」より「どう働きたいか」〜スクラムマスターの最初の一歩〜
hirakawa51
0
360
大規模な2値整数計画問題に対する 効率的な重み付き局所探索法
mickey_kubo
1
290
問いを起点に、社会と共鳴する知を育む場へ
matsumoto_r
PRO
0
470
Adaptive Experimental Design for Efficient Average Treatment Effect Estimation and Treatment Choice
masakat0
0
150
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
satai
3
260
とあるSREの博士「過程」 / A Certain SRE’s Ph.D. Journey
yuukit
6
3.5k
プロシェアリング白書2025_PROSHARING_REPORT_2025
circulation
1
930
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
satai
3
110
Featured
See All Featured
Fireside Chat
paigeccino
37
3.5k
YesSQL, Process and Tooling at Scale
rocio
173
14k
Automating Front-end Workflow
addyosmani
1370
200k
Unsuck your backbone
ammeep
671
58k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
31
1.3k
Site-Speed That Sticks
csswizardry
10
720
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
18
1k
Balancing Empowerment & Direction
lara
1
490
Why You Should Never Use an ORM
jnunemaker
PRO
58
9.5k
Why Our Code Smells
bkeepers
PRO
337
57k
Rails Girls Zürich Keynote
gr2m
95
14k
Transcript
ESEML Empirical Softare Engineering Modeling Language Bruno Cartaxo [
[email protected]
] Ítalo
Costa [
[email protected]
] Dhiego Martns [
[email protected]
] André Santos [
[email protected]
] Sérgio Soares [
[email protected]
] Vinícius Garcia [
[email protected]
]
MOTIVATION Researches in Softare Engineering normally proposes net practces to
increase productvity and quality. A great part of these researches fail to present empirical evidence.
EMPIRICAL SOFTWARE ENGINEERING There are several types of empirical studies.
Such as, surveys, case studies, secondary studies, acton research and controlled experiments.
CONTROLLED EXPERIMENTS According to Sjoberg only 1.9% of artcles has
a controlled experiment and the quality is not very high. With Experiment s Without Experiment
CONTROLLED EXPERIMENTS Wide range of skills is necessary to conduct
experiments that ofen create a barrier for adoptng it. Skills in terminology, statstcs knot hot and expertse in experimental design.
OBJECTIVE Facilitate the modeling process and defniton of an experimental
plan. By mitgatng social barriers betteen stakeholders. Such as statstcians, experiments designers, and domain experts.
PROPOSAL DSLs are efcient to model specifc domains + Controlled
experiments have their specifc domain elements = ESEML guides controlled experiments modeling in softare engineering and reduces social barriers
ESEML A visual DSL for modeling controlled experiments in softare
engineering. That Automatcally generate the experimental plan from an instantaton of a domain model.
METHODOLOGY Informal reviet of models, ontologies and formal representatons for
controlled experiments. Meta-model based on the reviet. Microsof DSL Tools to create the DSL and its related torkbench.
META-MODEL
LANGUAGE WORKBENCH ELEMENTS PALLETE EXPERIMENT MODEL
LANGUAGE WORKBENCH Parameter Hypothesis Dependent Variable Tratment Factor Experiment Validity
Goal Queston Metric
GENERATED DOCUMENT
DOCUMENT PARTS
CONCLUSION ESEML is the kickof to a major initatve for
defne a platorm of empirical studies in softare engineering.
FUTURE WORK Automatcally generaton of artfacts to collect data and
execute experiments. Systematc reviet to more accurate meta-model . Empirical evaluaton of ESEML.
?