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11 installed solutions for common GitHub Copilot problems

Abstract and 1. Introduction

2. Methodology and 2.1. Search questions

2.2. Collection

2.3. Place a sign of data

2.4. Data extraction

2.5. Data analysis

3. Results and interpretation and 3.1. Type of problems (RQ1)

3.2. Type of causes (RQ2)

3.3. Solutions type (RQ3)

4. The consequences

4.1. The effects of Copilot users

4.2. The effects of Copilot team

4.3. The effects of researchers

5. Justice threats

6. Related work

6.1. Evaluating the quality of code created by Copilot

6.2. Copilot effect on practical development and 6.3. Conclusive summary

7. Conclusions, data, approval, a statement of credit and references contribution

3.3. Solutions type (RQ3)

3.3.1. results

As mentioned in section 2.4.2, not all problems have corresponding solutions that can be extracted. As a result, we identified a total of 497 solutions, which were used to treat 36.7 % of all problems, classifying them to 11 species as shown in Table 4. The result reveals that most of the errors of the use were addressed by the errors that were fixed by COPILOT (27.2 %). When users tried to solve problems themselves, Modification/preparation (22.1 %), Use a suitable version (17.1 %), and Reintegration/Restart/Repeat Copilot (12.1 %) was commonly used as effective solutions. An example, counting, and each type of solution in Table 4.

• A repair cause by Copilot (BFC) refers to the process in which the COPILOT team collects the problems that users have reported or the jobs are tested on COPILOT, then addresses the specific errors. For example, the user failed to use Copilot due to “the problem by the COPILOT server”, and this problem was fixed by the Copilot team once noticed (Issue No. 86). The process of solving the problem by the Copilot team is usually unclear for users.

• Modification of configuration/preparation (MCS) indicates solutions that users set on settings or Copilot composition files to solve specific use problems. For example, by “updating the file setting.

• Use a suitable version (USV) refers to users who choose a suitable version of Copilot that solves the problems facing COPILOT currently used. This type of solution also includes setting the IDES version or code instructions to be compatible with Copilot. For example, the user who wanted to use Copilot in Visual Studio solve the problem of “inability to find GitHub Copilot”, by “promoting Visual Studio to 17.2” (discussion #18566).

• Reintegration/Restart/Repeat COPILOT (RC) is a type of solution that allows users to reset Copilot to its original state, thus solving any previous errors or restoring the settings to their default terms. For example, the user found that “GitHub Copilot was unable to contact the server” in VsCode, simply solved it “restarting” (discussion #27378).

• A feature carried out by Copilot (FIC) indicates an introduction or enhancement of a feature by COPILOT. For example, the latest COPILOT “has initial support to communication through HTTP servers”, which has previously tackled the ratification of the ratification of some of the previous users (so #73242748).

• Follow the official instructions (FOI) refers to the process followed by users the steps provided by the COPILOT user interface or described in the user’s evidence during registration, login, subscription and training. This type of solution usually aims to help users who are not aware of Copilot. For example, the user was advised to consult with “DoC Copilot” for guidelines about the formation of the keyboard shortcuts on Mac (so #75276040).

• Disable overlapping factors (DIF) refers to the process in which users determine the factors that disrupt the normal factors for the normal operation of COPILOT, such as other stimulant agents and HTTP, which can interfere with the network connection. For example, one of the users mentioned that “Github Copilot Autosuggesions was not automatically automatically in .MD files, and solve this problem by disrupting the components” Markdown All in One “(Discussion #10203).

• Restart the operating time environment (RRE) indicates the process of restarting the Copilot environment that solves any errors that affect the current operating time environment. For example, the restarting of the computer and the IDE that COPILOT is using the user to use the IDEA IDENTER IDEA 2022 (Discussion #17638).

• Modifying the input method (MIW) indicates that users change the way COPILOT is demanding to create software instructions, or to process problems that COPILOT does not automatically offer code, or to make Copilot provide symbols that meet their expectations better. For example, “Go to a new line after a symbol suspension, and start writing what you want to create” solve the problem created by Copilot “the same comment over and over again” (so #70995718).

• Install/update the framework (IUF) indicates the installation or update of the frameworks in IDES and the code of code to run COPILOT. This solution is used primarily to resolve the incompatibility between Copilot.vim (Pope, 2024) and Node.js. For example, the user found that he had to install Node.js for Copilot to work in Neovim (Discussion #40300).

I am freeIt differs from the problems and causes of the use and causes of Copilot, which can be classified in specific categories and types, many custom solutions aimed at addressing some of the problems of using Copilot under the other category. For example, the use of the VsCode “WIN-CA” extension was determined in annexation mode to solve the access to Copilot only once, making it difficult to form a new type of solution (so #71367058).

3.3.2. Solutions for mapping problems

Table 5 shows the relationship of maps drawing to COPILOT problems for their types of solutions, using shortcuts to represent each type of solution. For example, “BFC” represents a failed error by COPILOT. Full names are provided for all types of solutions to note table 5.

to The issue of the operation44.5 % of cases are effectively processed. Specifically, failure is mainly treated by BFC; The ratification failure is solved primarily by BFC, MCS and RC; The job failure is commonly fixed by BFC, MCS and USV; The startup problem is often solved by BFC, MCS, USV and RC. To address the installation problem and the version of the version, USV is the solution used in the first place.

to The issue of compatibilityEffective solutions were determined in 39.3 % of cases. BFC, MCS and USV are common solutions to solve the problem of the editor/IDE compatibility, while BFC, MCS and USV are often used to address the component compatibility problem. Moreover, the keyboard compatibility problem is mainly dependent on MCS.

to Request feature21.7 % of cases have effective solutions. Specifically, the job application is mainly treated by MCS and FIC. Two cases of the user interface request have been treated by MCS. In addition, although the professional COPILOT version solutions are not determined, GitHub has announced the availability of Copilot Enterprise on February 27, 2024 (GitHub, 2024A), which is likely to address the need for a professional version of Copilot.

We set effective solutions for 24.1 % of User experience problems. The bad authentication experience is treated by BFC, USV and RC, while the weak function experience is mainly resolved by MCS. Moreover, BFC is the only solution that has been determined to treat weak performance.

We only set five solutions to The problem of the suggestion content10.2 % of the total cases. BFC and MIW were used to address illogical suggestions and low quality proposal issues, and no solutions have been determined to resolve the unsafe proposal, a lower efficient proposal, a proposal with insects, an incomprehensible proposal, and a proposal with the construction of a non -good sentence.

Only 6.7 % of Copyright and politics It has corresponding solutions. As for the problem of code copyright and the problem of the code from remoteness, the MCS is the specified solution.

3.3.3. explanation

The frequency of solutions: BFC is the most common solution to address problems with Copilot, which is reasonable since COPILOT has been identified as the most common cause of Copilot problems, indicating that users cannot solve many Copilot problems. MCS, USV and RC are often used when users try to solve Copilot problems themselves. Usually, users can get the experience and relevant knowledge to solve Copilot solution

Table 4 Solutions from COPILOT problemsTable 4 Solutions from COPILOT problems

Table 5 trivial between types of problems (vertical) and types of solutions (horizontal)Table 5 trivial between types of problems (vertical) and types of solutions (horizontal)

Using problems through these three methods on question platforms and general answers (for example, GitHub issues, GitHub discussions, therefore). FIC is ranked fifth most used frequently, reflecting the expansion and improvement of Copilot features to match the requirements of the large user community. The remaining six types of solutions represent only 11.8 % of the total number of solutions, but they can still provide valuable experiments for users who face specific problems related to Copilot. For example, DIF can solve conflicts between the additional component “Molddown All in One” and “Copilot”, providing a lot of time for users who face the same problem.

Speaking solutions to problems: For the operation issue and the issue of compatibility, a large number of effective solutions have been identified. This is partly due to the high number of problems in operation and the issue of compatibility, and its direct impact on the appropriate performance of Copilot. As a result, both the Copilot team and users tend to address these two groups of Copilot immediately. In addition to errors in the Copilot server that can be addressed by BFC, some operating problems and compatibility problems are attributed to user operating environments. Therefore, users can process problems in these two categories through MCS, USV and RC. The relatively limited number of solutions to the suggestion content problem reflects the lack of effective ways for users to control the code proposed by Copilot. The problem of seeking features and the problem of user experience usually requires a new version of Copilot by the Copilot team to expand and improve COPILOT features, which makes it difficult to meet the expectations of some short -term users. In addition, we found that the MCS is used repeatedly by users when trying to get the job they want without waiting for the new version of Copilot. Fewage has been identified for copyright and politics, which indicates that it is important to provide satisfactory solutions to address the fears of code leakage.

Authors:

(1) Xu Zhou, College of Computer Science, Wuhan University, Wuhan, China ([email protected]);

(2) Ping Liang (author), College of Computer Science, Wuhan University, Wuhan, China ([email protected]);

(3) Becky Chang, College of Computer Science, Wuhan University, Wuhan, China ([email protected]);

(4) Zengyang Li, College of Computer Science, Central China University, Wuhan, China ([email protected]);

(5) Aakash Ahmed, College of Computing and Communications, University of Lancaster Leipzig, Leipzig, Germany ([email protected]);

(6) Mojtaba Shahin, College of Computing Technologies, RMIT University, Melbourne, Australia ([email protected]);

(7) Mohamed Wasim, College of Information Technology, University of Gifksel, Jevskil, Finland ([email protected]).


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