Development of a toolkit for analyzing software debugging processes using the constructive approach

Shynkarenko, Viktor; Zhevaho, Oleksandr

doi:10.15587/1729-4061.2020.215090

Cited by 5 publications

(5 citation statements)

References 46 publications

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“…The most related approaches to our think-aloud method we found are (Prabhakararao et al 2003;Wallace et al 2002), but this relates to a different domain and fault localization methods. Understanding debugging processes is usually achieved by monitoring IDE usage (Shynkarenko and Zhevaho 2020;Yamashita et al 2018;Schröer and Koschke 2021). For understanding the mental processes during debugging and specifically fault localization with think-aloud sessions, we think that our approach is the first.…”

Section: Related Workmentioning

confidence: 99%

Using contextual knowledge in interactive fault localization

et al. 2022

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Tool support for automated fault localization in program debugging is limited because state-of-the-art algorithms often fail to provide efficient help to the user. They usually offer a ranked list of suspicious code elements, but the fault is not guaranteed to be found among the highest ranks. In Spectrum-Based Fault Localization (SBFL) – which uses code coverage information of test cases and their execution outcomes to calculate the ranks –, the developer has to investigate several locations before finding the faulty code element. Yet, all the knowledge she a priori has or acquires during this process is not reused by the SBFL tool. There are existing approaches in which the developer interacts with the SBFL algorithm by giving feedback on the elements of the prioritized list. We propose a new approach called iFL which extends interactive approaches by exploiting contextual knowledge of the user about the next item in the ranked list (e. g., a statement), with which larger code entities (e. g., a whole function) can be repositioned in their suspiciousness. We implemented a closely related algorithm proposed by Gong et al., called Talk. First, we evaluated iFL using simulated users, and compared the results to SBFL and Talk. Next, we introduced two types of imperfections in the simulation: user’s knowledge and confidence levels. On SIR and Defects4J, results showed notable improvements in fault localization efficiency, even with strong user imperfections. We then empirically evaluated the effectiveness of the approach with real users in two sets of experiments: a quantitative evaluation of the successfulness of using iFL, and a qualitative evaluation of practical uses of the approach with experienced developers in think-aloud sessions.

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Section: Related Workmentioning

confidence: 99%

Using contextual knowledge in interactive fault localization

et al. 2022

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“…Матеріально-технічні процедури, призначені для створення заданих упорядкувань елементів моделей планування та управління, суттєво відрізняються від широко відомих завдань сортування сфери програмування та комп'ютерних технологій [7,9]. Для нашого дослідження суттєвими являються урахування факторів неперервного (real time) надходження елементів потоку вхідних даних до системи планування, а також неоднорідності (гетерогенності), складності або «ваги» окремих операторів формування послідовностей елементів [2,6]. Важливими прикладами зазначених процесів є розформування-формування залізничних составів (РФ переробка потоків вантажів у транспортних вузлах, формування потоків замовлень у матеріальних сховищах ін.…”

Section: вступunclassified

“…Наприклад, вузол моделі рис. 4b (z1=7.83) узагальнює величини 6 елементів, значення (5,6,7,8,9,12). Цю сукупність величин можна представити у формі однієї наступної дискретної нечіткої величини (НВ), де µk -величини ступеня належності до нечіткої величини НВ(8").…”

Section: матеріали та методи дослідженняunclassified

Investigation of the Algorithms for the Transport and Logistics Processes Optimal Formation by Heterogeneous Operators in Real Time

SKALOZUB¹,

Horiachkin²,

SKALOZUB³

et al. 2022

tstt

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The article presents the investigation results of the models and the algorithms for the formation of a wide range of transport and logistics real time processes, which create sorted structures of the mass orders. Operators of the different complexity, «weight» are used in this process. Different issues related to the creation of the formal models of the input data sets are resolved. They provide an effective implementation of the technological and the logistic processes. The purpose of the models is to improve the procedures for optimal ordering and classification of the sequences of analysing elements and orders. We have proposed new specialized models (graph models, binary trees) for the input (primary) sets of the elements, as well as algorithms for their processing, which ensure an efficiency increase of the ordering process components. In addition, graph models and algorithms allow solving classification tasks for the data of various types, and they are also suitable for organizing multi-sequencial orders. The high computational efficiency of the proposed new algorithms for arranging and classifying data has been established using comparative analysis. The article provides meaningful examples and notes the peculiarities of the tasks used for real time ordering and classification of the multi-sequencial orders. Namely, this is the task of disassembling and forming railway trains and the task of «mass order delivery to address». Examples of real time creation and transformation of the data flows binary graph models are provided to demonstrate the models and the algorithms. The formed models have been also applied to the tasks of effective sorting and classification with interval uncertainty of the data. We have investigated the possibilities of fuzzy arrangement structure creation and classification of numerical data received online.

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“…Debugging behavior. We have identified 5 tools to help you understand debugging behavior [5,9,35,41,49].…”

Section: Rq 2 How Have Researchers Used These Tools To Collect and Analyze Developer Behavior?mentioning

confidence: 99%

An Overview of Tools for Collecting Data on Software Development and Debugging Processes from Integrated Development Environments

Zhevaho

2021

STP

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Purpose. This paper presents the findings of a review of the literature published in the twenty-first century in order to identify and analyze the current state of tools that track developer interactions with integrated development environments, as well as to recommend future research directions based on the actual state. Methodology. By systematically searching in five digital libraries we conducted a systematic review of the literature on data collection tools from integrated development environments published in the twenty-first century. Fifty-five papers were selected as primary studies. Findings. 55 articles were analyzed and the findings show that using an integrated development environment to collect usage data provides more insight into developer activities than it was previously possible. Usage data allows us to analyze how developers spend their time. With usage data, you can learn more about how developers create mental models, investigate code, conduct mini-experiments through trial and error, and what can help everyone improve performance. The research community continues to be highly active in developing tools to track developer activity. The findings indicate that more research is needed in this area to better understand and measure programmer behavior. Originality. For the first time, systematization and analysis of tools for tracking programmer's behavior in an integrated development environment have been carried out. Practical value. Our study contributes to a better understanding of the current state of research on programmer behavior in integrated development environments. An analysis of the study can help define a research agenda as a starting point for the creation of a novel practical tool.

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Development of a toolkit for analyzing software debugging processes using the constructive approach

Cited by 5 publications

References 46 publications

Using contextual knowledge in interactive fault localization

Using contextual knowledge in interactive fault localization

Investigation of the Algorithms for the Transport and Logistics Processes Optimal Formation by Heterogeneous Operators in Real Time

An Overview of Tools for Collecting Data on Software Development and Debugging Processes from Integrated Development Environments

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