cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
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DOI: 10.7910/dvn/ghcv1g/1ybb6l
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DOI: 10.7910/dvn/ghcv1g/dz5ulu
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DOI: 10.7910/dvn/ghcv1g/e8wpkm
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DOI: 10.7910/dvn/ghcv1g/gnjtwh
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DOI: 10.7910/dvn/ghcv1g/mypnwo
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DOI: 10.7910/dvn/ghcv1g/ypvt0z
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DOI: 10.7910/dvn/eqdkvy/l90bai
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DOI: 10.7910/dvn/eqdkvy/p8ycbj
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DOI: 10.7910/dvn/eqdkvy/pwrun9
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DOI: 10.7910/dvn/ghcv1g/02ejxq
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DOI: 10.7910/dvn/ghcv1g/3ejcrm
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DOI: 10.7910/dvn/ghcv1g/442qyt
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DOI: 10.7910/dvn/ghcv1g/5bd8td
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DOI: 10.7910/dvn/ghcv1g/6fpu9c
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DOI: 10.7910/dvn/ghcv1g/9ojfbr
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DOI: 10.7910/dvn/ghcv1g/abwbls
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DOI: 10.7910/dvn/ghcv1g/c4te9w
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DOI: 10.7910/dvn/ghcv1g/dughls
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DOI: 10.7910/dvn/ghcv1g/dyus8f
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DOI: 10.7910/dvn/ghcv1g/fn7be7
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DOI: 10.7910/dvn/ghcv1g/grhnr4
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DOI: 10.7910/dvn/ghcv1g/ihdolw
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DOI: 10.7910/dvn/ghcv1g/iyohca
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DOI: 10.7910/dvn/ghcv1g/krodcu
title: ML_300msEM200_MP3-48.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/l1l57w
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-9.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/mmxixt
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description: :unav
DOI: 10.7910/dvn/ghcv1g/nhihl3
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DOI: 10.7910/dvn/ghcv1g/ntuklv
title: ML_300msEM200_MP5-133.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rcuds8
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description: :unav
DOI: 10.7910/dvn/ghcv1g/rvmhll
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DOI: 10.7910/dvn/ghcv1g/umad7v
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description: :unav
DOI: 10.7910/dvn/ghcv1g/vam12n
title: ML_300msEM200_MP3-41.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/why8od
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description: :unav
DOI: 10.7910/dvn/ghcv1g/xuav0a
title: ML_300msEM200_MP5-87.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/xwgqpl
title: ML_300msEM200_MP1-97.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/y1omi5
title: ML_300msEM200_MP2-216.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/zphjkr
title: ML_300msEM200_MP1-32.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/4z7bof
title: liveStage-frame48.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/7khfbg
title: liveStage-frame105.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/crkw8p
title: liveStage-frame86.mat

description: :unav
DOI: 10.7910/dvn/eqdkvy/otwqoy
title: liveStage-frame118.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/0tlcuu
title: ML_300msEM200_MP1-112.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/0ytf7e
title: ML_300msEM200_MP1-104.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/43bzly
title: ML100xZnS-Mn-cys_1s_EM200-5-11.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/arwn2l
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description: :unav
DOI: 10.7910/dvn/ghcv1g/chu5i0
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DOI: 10.7910/dvn/ghcv1g/d6cbpf
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DOI: 10.7910/dvn/ghcv1g/fkwkvl
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DOI: 10.7910/dvn/ghcv1g/fqee7p
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DOI: 10.7910/dvn/ghcv1g/kgs1c8
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DOI: 10.7910/dvn/ghcv1g/n3ohnt
title: ML_300msEM200_MP2-44.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/n74sco
title: ML100xZnS-Mn-cys_1s_EM200-5-53.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/nij6zs
title: ML_300msEM200_MP1-46.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/odbavq
title: ML_300msEM200_MP1-299.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/pl4zaa
title: ML_300msEM200_MP1-15.mat

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DOI: 10.7910/dvn/ghcv1g/pyedsk
title: ML_300msEM200_MP1-257.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qoq3kj
title: ML_300msEM200_MP3-19.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qqio5x
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description: :unav
DOI: 10.7910/dvn/ghcv1g/r3lxnn
title: ML_300msEM200_MP5-136.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/sgwolt
title: ML_300msEM200_MP2-193.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/sxiooc
title: ML_300msEM200_MP2-242.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/tfoa7s
title: ML_300msEM200_MP3-15.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/uet4ip
title: ML_300msEM200_MP1-65.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vwsd5u
title: ML_300msEM200_MP1-33.mat

description: :unav
DOI: 10.5281/zenodo.3715424
title: DATASET - AVALIAÇÃO EMPÍRICA DA GERAÇÃO AUTOMATIZADA DE TESTES DE SOFTWARE SOB A PERSPECTIVA DE TEST SMELLS

description: A constante busca pela qualidade sempre está em destaque na área de Engenharia de Software. Dentre as diversas disciplinas dedicadas a essa temática, o teste de software tem se estabelecido como uma das mais importantes, dado sua eficácia na identificação de defeitos, em momento prévio à liberação de sistemas de software para o mercado. O teste de software é atividade-chave para o desenvolvimento de software de qualidade. Entretanto, desenvolver testes é tão ou mais custoso do que desenvolver o código de produção. Uma alternativa para a redução dos custos associados ao teste de software se dá pelo uso intensivo de ferramentas de automação de testes. A proposta dessas ferramentas é reduzir o tempo de produção sem afetar a qualidade do código. Apesar dessa premissa, não é comum encontrar abordagens que incluam uma camada de verificação de qualidade dos testes gerados automaticamente, o que pode reduzir a confiabilidade da eficácia desses testes. Neste cenário, a proposta dessa dissertação é analisar empiricamente massas de dados de teste, sob a perspectiva de test smells, no sentido de avaliar a qualidade dos testes produzidos por ferramentas de geração automatizada de testes de software. Test smells são más escolhas no design dos testes e tem características sintomáticas e podem acarretar diminuição na qualidade dos sistemas. Considerando os test smells em código de teste, o estudo analisa os testes gerados por duas ferramentas amplamente aceitas pela comunidade de testes: Evosuite e Randoop. Um conjunto de vinte e um projetos de software de código aberto, disponíveis na plataforma Github foram considerados no estudo. A análise considerou a dispersão de test smells no código de teste desses projetos, bem como a existência de potenciais correlações entre test smells e as relações com as métricas estruturais. Como principais resultados, encontramos fortes correlações entre os test smells e as métricas de cobertura do código, diferenças significativas entre os dados encontrados nas suítes de testes geradas automaticamente e com os testes pré-existentes nos projetos avaliados.
DOI: 10.7910/dvn/eqdkvy/dtys30
title: liveStage-frame65.mat

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DOI: 10.7910/dvn/eqdkvy/ems1d1
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description: :unav
DOI: 10.7910/dvn/eqdkvy/v1df7b
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DOI: 10.7910/dvn/eqdkvy/xowpes
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DOI: 10.7910/dvn/ghcv1g/0qisca
title: ML_300msEM200_MP1-233.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/3ontvk
title: ML_300msEM200_MP1-39.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/4n97z6
title: ML100xZnS-Mn-cys_300ms_EM200-6bigMP-88.mat

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DOI: 10.7910/dvn/ghcv1g/4nstkb
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DOI: 10.7910/dvn/ghcv1g/df7rh0
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DOI: 10.7910/dvn/ghcv1g/ewajrq
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DOI: 10.7910/dvn/ghcv1g/gmi5we
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DOI: 10.7910/dvn/ghcv1g/gnroiv
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DOI: 10.7910/dvn/ghcv1g/hazgik
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DOI: 10.7910/dvn/ghcv1g/i7o7lq
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DOI: 10.7910/dvn/ghcv1g/jly8qt
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DOI: 10.7910/dvn/ghcv1g/m3hpk3
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DOI: 10.7910/dvn/ghcv1g/mrje2l
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DOI: 10.7910/dvn/ghcv1g/shriae
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DOI: 10.7910/dvn/ghcv1g/snklgz
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DOI: 10.7910/dvn/ghcv1g/vlbks5
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description: :unav
DOI: 10.7910/dvn/ghcv1g/xc5ojh
title: ML_300msEM200_MP4-90.mat

description: :unav
DOI: 10.5281/zenodo.3715423
title: DATASET - AVALIAÇÃO EMPÍRICA DA GERAÇÃO AUTOMATIZADA DE TESTES DE SOFTWARE SOB A PERSPECTIVA DE TEST SMELLS

description: A constante busca pela qualidade sempre está em destaque na área de Engenharia de Software. Dentre as diversas disciplinas dedicadas a essa temática, o teste de software tem se estabelecido como uma das mais importantes, dado sua eficácia na identificação de defeitos, em momento prévio à liberação de sistemas de software para o mercado. O teste de software é atividade-chave para o desenvolvimento de software de qualidade. Entretanto, desenvolver testes é tão ou mais custoso do que desenvolver o código de produção. Uma alternativa para a redução dos custos associados ao teste de software se dá pelo uso intensivo de ferramentas de automação de testes. A proposta dessas ferramentas é reduzir o tempo de produção sem afetar a qualidade do código. Apesar dessa premissa, não é comum encontrar abordagens que incluam uma camada de verificação de qualidade dos testes gerados automaticamente, o que pode reduzir a confiabilidade da eficácia desses testes. Neste cenário, a proposta dessa dissertação é analisar empiricamente massas de dados de teste, sob a perspectiva de test smells, no sentido de avaliar a qualidade dos testes produzidos por ferramentas de geração automatizada de testes de software. Test smells são más escolhas no design dos testes e tem características sintomáticas e podem acarretar diminuição na qualidade dos sistemas. Considerando os test smells em código de teste, o estudo analisa os testes gerados por duas ferramentas amplamente aceitas pela comunidade de testes: Evosuite e Randoop. Um conjunto de vinte e um projetos de software de código aberto, disponíveis na plataforma Github foram considerados no estudo. A análise considerou a dispersão de test smells no código de teste desses projetos, bem como a existência de potenciais correlações entre test smells e as relações com as métricas estruturais. Como principais resultados, encontramos fortes correlações entre os test smells e as métricas de cobertura do código, diferenças significativas entre os dados encontrados nas suítes de testes geradas automaticamente e com os testes pré-existentes nos projetos avaliados.
DOI: 10.7910/dvn/eqdkvy/6gvash
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DOI: 10.7910/dvn/ghcv1g/1hqetr
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DOI: 10.7910/dvn/ghcv1g/9onsf7
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DOI: 10.7910/dvn/ghcv1g/bkj4b2
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