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Tytuł:
NRFixer: Sentiment Based Model for Predicting the Fixability of Non-Reproducible Bugs
Autorzy:
Goyal, A.
Sardana, N.
Tematy:
bug report
bug triaging
non-reproducible bugs
sentiment analysis
mining software repositories
Pokaż więcej
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:
https://bibliotekanauki.pl/articles/384057.pdf  Link otwiera się w nowym oknie
Opis:
Software maintenance is an essential step in software development life cycle. Nowadays, software companies spend approximately 45% of total cost in maintenance activities. Large software projects maintain bug repositories to collect, organize and resolve bug reports. Sometimes it is difficult to reproduce the reported bug with the information present in a bug report and thus this bug is marked with resolution non-reproducible (NR). When NR bugs are reconsidered, a few of them might get fixed (NR-to-fix) leaving the others with the same resolution (NR). To analyse the behaviour of developers towards NR-to-fix and NR bugs, the sentiment analysis of NR bug report textual contents has been conducted. The sentiment analysis of bug reports shows that NR bugs’ sentiments incline towards more negativity than reproducible bugs. Also, there is a noticeable opinion drift found in the sentiments of NR-to-fix bug reports. Observations driven from this analysis were an inspiration to develop a model that can judge the fixability of NR bugs. Thus a framework, NRFixer, which predicts the probability of NR bug fixation, is proposed. NRFixer was evaluated with two dimensions. The first dimension considers meta-fields of bug reports (model-1) and the other dimension additionally incorporates the sentiments (model-2) of developers for prediction. Both models were compared using various machine learning classifiers (Zero-R, naive Bayes, J48, random tree and random forest). The bug reports of Firefox and Eclipse projects were used to test NRFixer. In Firefox and Eclipse projects, J48 and Naive Bayes classifiers achieve the best prediction accuracy, respectively. It was observed that the inclusion of sentiments in the prediction model shows a rise in the prediction accuracy ranging from 2 to 5% for various classifiers.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine Learning or Information Retrieval Techniques for Bug Triaging: Which is better?
Autorzy:
Goyal, A.
Sardana, N.
Tematy:
bug triaging
bug report assignment
developer recommendation
machine learning
information retrieval
Pokaż więcej
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:
https://bibliotekanauki.pl/articles/384096.pdf  Link otwiera się w nowym oknie
Opis:
Bugs are the inevitable part of a software system. Nowadays, large software development projects even release beta versions of their products to gather bug reports from users. The collected bug reports are then worked upon by various developers in order to resolve the defects and make the final software product more reliable. The high frequency of incoming bugs makes the bug handling a difficult and time consuming task. Bug assignment is an integral part of bug triaging that aims at the process of assigning a suitable developer for the reported bug who corrects the source code in order to resolve the bug. There are various semi and fully automated techniques to ease the task of bug assignment. This paper presents the current state of the art of various techniques used for bug report assignment. Through exhaustive research, the authors have observed that machine learning and information retrieval based bug assignment approaches are most popular in literature. A deeper investigation has shown that the trend of techniques is taking a shift from machine learning based approaches towards information retrieval based approaches. Therefore, the focus of this work is to find the reason behind the observed drift and thus a comparative analysis is conducted on the bug reports of the Mozilla, Eclipse, Gnome and Open Office projects in the Bugzilla repository. The results of the study show that the information retrieval based technique yields better efficiency in recommending the developers for bug reports.
Dostawca treści:
Biblioteka Nauki
Artykuł
Autorzy:
Solans, C.
Andre, K. D. J.
Spiesberger, H.
Cakir, O.
Denizli, H.
Cruz-Alaniz, E.
Ruan, X.
Camarda, S.
Olivier, G.
Luo, X.
Azuelos, G.
Lei, G.
Lappi, T.
Glover, N.
Zhang, J.
Flores-Sánchez, O.
Krelina, M.
Gonzalez-Sprinberg, G. A.
Nowakowski, M.
Yock, P.
Hessler, J.
Xiaohao, C.
Bertolucci, S.
Coleppa, B.
Jana, S.
Tudora, A.
Alekhin, S.
Yamaguchi, Y.
Turk Cakir, I.
Raicevic, N.
Pan, R.
Morreale, A.
Sinha, N.
Shipman, N.
Olry, G.
Tommasini, D.
Perez-Segurana, G.
Giuli, F.
Gehrmann-De Ridder, A.
Sahin, M.
Harland-Lang, L.
Jansova, M.
Godbole, R. M.
Lobodzinska, E.
Zomer, F.
Behnke, O.
Salgado, C. A.
Pietralla, N.
Granados, E.
Hayden, D.
Apsimon, R.
Khalek, R. A.
Martens, A.
Calıskan, A.
Li, X.
Wei, H.
Korostelev, M.
Kaabi, W.
Laycock, P.
Han, C. C.
Hesari, H.
Stanyard, J.
Rosado, A.
Smith, S.
Russenschuck, S.
Gunaydin, Y. O.
Mitra, M.
Daly, E.
Angal-Kalinin, D.
Trbojevic, D.
Mäntysaari, H.
Kretzschmar, J.
Liuti, S.
Newman, P.
Ratoff, P.
Moretti, S.
Catalan-Lasheras, N. C.
Corsini, R.
Poelker, M.
Litvinenko, V.
Wang, B.
Pires, J.
Paukkunen, H.
Zhang, R.
Armbruster, A.
Gilbert, A.
de Blas, J.
Sekine, T.
Liu, Y.
Sampayo, O. A.
Zhang, Z.
Wollmann, D.
Pire, B.
Nissen, E. A.
Kulipanov, G.
Wang, K.
Karadeniz, H.
Das, A.
Rezaeian, A. H.
Cooper-Sarkar, A.
Gehrmann, T.
Bailey, I.
Tsurin, I.
Kalinin, D. A.
Duarte, L.
Cormier, E.
Valloni, A.
Tanaka, M.
Bordry, F.
Auchmann, B.
Wallon, S.
Schenke, B.
Nergiz, Z.
Brüning, O.
Gerigk, F.
Słomiński, Wojciech
Tywoniuk, K.
Dutta, S.
Mohammadi Najafabadi, M.
Bogacz, A.
Huss, A.
Senol, A.
Nadolsky, P.
Köksal, M.
Osborne, J. A.
Rashed, A.
Aperio Bella, L.
Mondal, S.
Tapia-Takaki, D.
Bracinik, J.
Apolinario, L.
Latina, A.
Cassou, K.
Militsyn, B.
Yue, C. X.
Olness, F.
Zurita, P.
Queiroz, F. S.
Haug, F.
Cepila, J.
Repond, J.
Cetinkaya, V.
Raut, D.
Yang, H.
Honorato, C. G.
Kocak, F.
Hoffstaetter, G. H.
Stasto, A.
Eichhorn, R.
Trott, M.
Shang, L.
Peinaud, Y.
Klein, U.
Deshpande, K. S.
Satendra, K.
Marhauser, F.
Liu, M.
Eskola, K. J.
Schulte, D.
Patra, M.
Liang, H.
Balli, F.
Bruni, C.
Hug, F.
Dassa, L.
Kostka, P.
Holzer, B.
Levitchev, E.
Apyan, A.
Starostenko, A.
Gonçalves, V.
Hod, N.
Dainton, J.
Kado, M.
Li, R.
Strikman, M.
Brodsky, S. J.
Goddard, B.
Liu, T.
Satyanarayan, N.
Wang, X.
Gaddi, A.
Perrot, L.
Hutton, A.
Kumar, M.
Fischer, O.
Zhang, C.
Pellegrini, D.
Rahaman, R.
Szymanowski, L.
Marquet, C.
Currie, J.
Sutton, M.
Bousson, S.
Milhano, J. G.
Tasci, A. T.
Kawaguchi, S.
McFayden, J.
Hounsell, B.
Hernandez-Sanchez, J.
Allport, P. P.
Backovic, S.
Okada, N.
Tomas-Garcia, R.
Welsch, C.
Willering, G.
Britzger, D.
Agostini, P.
Tapan, I.
Verney, D.
Grassellino, A.
Aulenbacher, K.
Niehues, J.
Bernauer, J.
Pownall, G.
Yilmaz, A.
Ma, W.
Efremov, A. V.
Schwanenberger, C.
Biswal, S. S.
Rai, S. K.
Williams, P. H.
Ozansoy, A.
Grames, J.
Setiniyaz, S.
Jensen, E.
Rabbertz, K.
Delle Rose, L.
Bouzas, A. O.
Andari, N.
Burkhardt, H.
Larios, F.
Benedikt, M.
Das, S. P.
Ben-Zvi, I.
Longuevergne, D.
Levy, A.
Caldwell, A.
Parker, B.
Meot, F.
Stuart, M. J.
Zadeh, S. G.
Goyal, A.
Helenius, I.
Raychaudhuri, S.
Machado, M.
Milanese, A.
Mandal, S.
Polini, A.
Gao, J.
Islam, R.
Zimmermann, F.
Chetvertkova, V.
Yamazaki, Y.
Rinolfi, L.
Blümlein, J.
Polifka, R.
Armesto, N.
Dupraz, K.
Sultansoy, S.
Cornell, A. S.
Wang, Z. S.
Boonekamp, M.
Kaya, U.
Moch, S.
Kilic, A.
Marzani, S.
Aksakal, H.
Schirm, K.
Mcintosh, P.
Perini, D.
D’Onofrio, M.
Rimmer, R.
Boroun, G. R.
Radescu, V.
Martin, R.
Guzey, V.
Thonet, P.
Navarra, F.
Stocchi, A.
Bracco, C.
Henry, J.
Schopper, H.
Bottura, L.
Ari, V.
Shen, X.
Levonian, S.
Sun, H.
Douglas, D.
Ten-Kate, A. T.
Tang, Y.
Zhu, G.
Zurita, J.
Cole, B.
Poulose, P.
Ferreiro, E. G.
Hu, N.
Forte, S.
Xu, T.
Klein, M.
Guo, Y. C.
Seryi, A.
Vallerand, C.
Bonvini, M.
Kluth, S.
Morgan, T.
Zhu, S.
Glazov, A.
Zenaiev, O.
Pupkov, Y. A.
Gwenlan, C.
Calaga, R.
Kuze, M.
Placakyte, R.
Pilicer, E.
Bailey, S.
Hammad, A.
Hautmann, F.
Arduini, G.
Liu, W.
Walker, D.
Jones, T.
Song, M.
Kuday, S.
Hobbs, T. J.
Rojo, J.
Curtin, D.
Antusch, S.
Mellado, B.
Yaguna, C. E.
Khanpour, H.
Schott, M.
Behera, S.
Vilella, E.
Iwamoto, S.
Jowett, J. M.
Opis:
The Large Hadron–Electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy-recovery technology, it collides a novel, intense electron beam with a proton or ion beam from the High-Luminosity Large Hadron Collider (HL-LHC). The accelerator and interaction region are designed for concurrent electron–proton and proton–proton operations. This report represents an update to the LHeC’s conceptual design report (CDR), published in 2012. It comprises new results on the parton structure of the proton and heavier nuclei, QCD dynamics, and electroweak and top-quark physics. It is shown how the LHeC will open a new chapter of nuclear particle physics by extending the accessible kinematic range of lepton–nucleus scattering by several orders of magnitude. Due to its enhanced luminosity and large energy and the cleanliness of the final hadronic states, the LHeC has a strong Higgs physics programme and its own discovery potential for new physics. Building on the 2012 CDR, this report contains a detailed updated design for the energy-recovery electron linac (ERL), including a new lattice, magnet and superconducting radio-frequency technology, and further components. Challenges of energy recovery are described, and the lower-energy, high-current, three-turn ERL facility, PERLE at Orsay, is presented, which uses the LHeC characteristics serving as a development facility for the design and operation of the LHeC. An updated detector design is presented corresponding to the acceptance, resolution, and calibration goals that arise from the Higgs and parton-density-function physics programmes. This paper also presents novel results for the Future Circular Collider in electron–hadron (FCC-eh) mode, which utilises the same ERL technology to further extend the reach of DIS to even higher centre-of-mass energies.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Plane waves in thermo-viscoelastic material with voids under different theories of thermoelasticity
Autorzy:
Tomar, S. K.
Goyal, N.
Szekeres, A.
Tematy:
termolepkosprężystość
fala
prędkość fazowa
energia
thermo-visco-elasticity
voids
waves
phase speed
attenuation
energy
Pokaż więcej
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:
https://bibliotekanauki.pl/articles/264540.pdf  Link otwiera się w nowym oknie
Opis:
Propagation of time harmonic plane waves in an infinite thermo-viscoelastic material with voids has been investigated within the context of different theories of thermoelasticity. The equations of motion developed by Iesan [1] have been extended to incorporate the Lord-Shulman theory (LST) and Green-Lindsay theory (GLT) of thermoelasticity. It has been shown that there exist three coupled dilatational waves and an uncoupled shear wave propagating with distinct speeds. The presence of thermal, viscosity and voids parameters is responsible for the coupling among dilatational waves. All the existing waves are found to be dispersive and attenuated in nature. The phase speeds and attenuation coefficients of propagating waves are computed numerically for a copper material and compared under different theories of thermo-elasticity. The expressions of energies carried along each wave have also been derived. All the computed numerical results have been depicted through graphs. It is found that the influence of CT and GLT is almost same on wave propagation, while LST influences the wave propagation differently.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Classification System for Characterization of Physical and Non-Physical Work Factors
Autorzy:
Genaidy, A.
Karwowski, W.
Succop, P.
Kwon, Y. G.
Alhemoud, A.
Goyal, D.
Tematy:
performance
work-factor system
classification
klasyfikacja
system pracy
wydajność
Pokaż więcej
Wydawca:
Centralny Instytut Ochrony Pracy
Powiązania:
https://bibliotekanauki.pl/articles/89768.pdf  Link otwiera się w nowym oknie
Opis:
A comprehensive evaluation of work-related perfomance factors is a prerequisite to developing integrated and long-term solutions to workplace performance improvement. This paper describes a work-factor classification system that categorizes the entire domain of workplace factors impacting performance. A questionnaire-based instrument was developed to implement this classification system in industry. Fifty jobs were evaluated in 4 different service and manufacturing companies using the proposed questionnaire-based instrument. The reliability coefficients obtained from the analyzed jobs were considered good (.589 to .862). In general, the physical work factors resulted in higher reliability coefficients (.847 to .862) than non-physical work factors (.589 to .768).
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Discovery of a highly polarized optical microflare in blazar S 5 0716+714 during the 2014 WEBT campaign
Autorzy:
Ui, T.
Yoshida, M.
Strigachev, A.
Markowitz, A.
Moody, J. W.
Troitsky, I. S.
Klimanov, S. A.
Laurence, D.
Sadun, A. C.
Sasada, M.
Carosati, D.
Jabłeka, Damian
Raiteri, C. M.
Villata, M.
Stawarz, Łukasz
Bhatta, Gopal
Kawabata, K. S.
Ohlert, J. M.
Itoh, R.
Arkharov, A. A.
Jorstad, S.
Ostrowski, Michał
Kurtanidze, O.
Rizzi, N.
Paola, A. Di
Marscher, A. P.
Damljanovic, G.
Frasca, A.
Goyal, Arti
Dhalla, S.
Akitaya, H.
Larionov, V. M.
Webb, J. R.
Takaki, K.
Hiriart, D.
Moritani, Y.
Borman, G. A.
Hu, S.-M.
Benítez, E.
Leto, G.
Zoła, Stanisław
Sergeev, S.
Cason, A. D.
Bachev, R.
Vince, O.
Opis:
The occurrence of low-amplitude flux variations in blazars on hourly timescales, commonly known as microvariability, is still a widely debated subject in high-energy astrophysics. Several competing scenarios have been proposed to explain such occurrences, including various jet plasma instabilities leading to the formation of shocks, magnetic reconnection sites, and turbulence. In this Letter, we present the results of our detailed investigation of a prominent, five-hour-long optical microflare detected during the recent WEBT campaign on 2014 March 2–6 targeting the blazar 0716+714. After separating the flaring component from the underlying base emission continuum of the blazar, we find that the microflare is highly polarized, with the polarization degree $\sim$(40-60)\%$\pm$ (2-10)\% and the electric vector position angle $\sim(10-20)^{\circ}\pm (1-8)^{\circ}$ slightly misaligned with respect to the position angle of the radio jet. The microflare evolution in the ( Q , U ) Stokes parameter space exhibits a looping behavior with a counterclockwise rotation, meaning the polarization degree decreases with the flux (but is higher in the flux decaying phase), and an approximately stable polarization angle. The overall very high polarization degree of the flare, its symmetric flux rise and decay profiles, and also its structured evolution in the Q–U plane all imply that the observed flux variation corresponds to a single emission region characterized by a highly ordered magnetic field. As discussed in the paper, a small-scale but strong shock propagating within the outflow, and compressing a disordered magnetic field component, provides a natural, though not unique, interpretation of our findings.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Wyświetlanie 1-10 z 38

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