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Datasets:
Kidomakai
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software-engineering-interview-practices-2005-2026

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Formats:
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software-engineering
survey
reproducibility
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Auto-converted to Parquet Duplicate
Respondent_ID
string
Role
int64
P3_Duration
int64
P3_Rounds
int64
P3_Alignment
int64
P3_Toll
int64
P4_Duration
int64
P4_Rounds
int64
P4_Alignment
int64
P4_Toll
int64
P5_Duration
int64
P5_Rounds
int64
P5_Alignment
int64
P5_Toll
int64
P6_Duration
int64
P6_Rounds
int64
P6_Alignment
int64
P6_Toll
int64
Submitted
bool
RESP_0001
1
1
1
2
3
2
1
2
3
3
1
3
4
3
3
3
9
true
RESP_0002
1
1
1
2
4
4
2
4
1
4
2
3
8
4
3
4
7
true
RESP_0003
1
2
1
1
4
3
2
5
7
5
3
3
9
4
3
5
8
true
RESP_0004
1
2
2
3
4
4
2
4
5
4
3
5
7
4
3
5
8
true
RESP_0005
1
1
1
2
1
1
2
2
4
3
2
2
4
3
2
1
7
true
RESP_0006
1
1
1
2
1
3
1
2
6
4
3
3
4
2
3
3
7
true
RESP_0007
1
2
2
3
4
3
3
4
6
4
3
5
9
5
3
4
6
true
RESP_0008
1
2
1
1
2
3
2
3
4
4
3
5
6
4
3
3
6
true
RESP_0009
1
2
2
2
2
3
2
4
6
4
3
3
9
4
3
3
9
true
RESP_0010
1
3
1
2
3
3
2
4
8
5
3
4
9
5
3
2
8
true
RESP_0011
1
2
2
2
3
2
2
2
5
4
3
3
8
4
3
3
9
true
RESP_0012
1
1
1
1
2
2
2
3
2
4
1
3
9
4
2
1
8
true
RESP_0013
2
2
1
3
4
2
2
4
6
3
2
4
8
4
3
4
9
true
RESP_0014
2
2
1
2
2
3
2
3
8
5
3
4
7
3
3
3
6
true
RESP_0015
1
2
1
2
2
4
2
4
5
4
3
5
8
5
3
5
9
true
RESP_0016
1
1
1
1
4
2
3
3
5
4
2
5
6
5
3
3
10
true
RESP_0017
1
1
1
3
4
4
3
3
8
5
3
4
8
4
3
3
9
true
RESP_0018
1
1
1
1
1
2
2
3
4
3
2
2
9
2
2
1
7
true
RESP_0019
2
1
2
1
1
2
2
2
3
4
2
3
2
4
2
3
5
true
RESP_0020
1
2
1
2
4
2
2
4
4
4
3
5
9
5
2
4
7
true
RESP_0021
1
2
1
2
2
3
1
4
5
4
2
2
6
3
3
2
8
true
RESP_0022
1
2
1
1
3
3
2
2
3
3
3
1
9
4
3
3
7
true
RESP_0023
1
2
1
3
2
3
2
3
5
4
3
1
6
3
2
2
8
true
RESP_0024
1
2
1
3
3
4
2
3
8
4
3
5
8
3
3
3
8
true
RESP_0025
1
2
1
1
3
4
2
4
8
4
3
4
6
4
3
4
8
true
RESP_0026
1
2
1
2
2
4
3
4
6
5
3
4
10
4
3
3
8
true
RESP_0027
2
1
1
1
2
3
2
1
2
3
1
3
3
4
2
1
6
true
RESP_0028
1
3
1
3
3
4
3
4
5
5
3
5
8
5
3
5
10
true
RESP_0029
1
2
2
2
5
4
3
4
6
5
3
4
9
4
3
3
10
true
RESP_0030
1
2
1
2
4
3
3
5
5
5
2
4
8
4
2
4
7
true
RESP_0031
1
2
1
1
4
2
2
3
3
3
2
2
6
3
1
2
5
true
RESP_0032
1
2
1
1
2
2
2
3
7
4
2
3
9
4
2
2
8
true
RESP_0033
1
2
1
1
3
3
2
4
9
4
3
5
8
5
3
3
8
true
RESP_0034
1
2
1
2
3
2
2
2
4
4
1
3
7
3
2
2
7
true
RESP_0035
1
3
2
1
3
4
2
4
8
4
3
5
9
4
3
4
9
true
RESP_0036
1
2
1
2
2
3
3
3
5
4
2
4
10
4
3
4
8
true
RESP_0037
1
1
1
2
2
4
2
5
6
4
2
5
8
4
2
4
9
true
RESP_0038
1
2
1
3
3
4
2
3
6
5
3
5
5
4
3
4
7
true
RESP_0039
2
1
1
2
1
2
2
1
2
3
3
1
4
4
2
2
6
true
RESP_0040
1
1
1
2
2
2
2
5
5
4
3
5
8
4
3
3
8
true
RESP_0041
1
3
1
2
2
3
2
5
5
4
3
5
8
4
3
2
10
true
RESP_0042
1
1
1
2
2
3
2
3
5
3
2
2
7
4
2
1
7
true
RESP_0043
1
1
1
2
3
2
2
3
4
4
2
3
9
2
2
2
8
true
RESP_0044
2
3
1
1
2
3
2
5
6
4
3
3
8
5
3
5
9
true
RESP_0045
2
3
2
2
3
3
2
4
5
5
3
3
7
4
3
4
8
true
RESP_0046
1
1
1
1
2
2
1
2
6
3
2
2
8
4
2
1
9
true
RESP_0047
1
2
1
3
2
3
1
3
6
4
3
3
9
3
3
3
8
true
RESP_0048
1
1
1
2
4
3
2
3
3
3
2
2
6
3
3
3
7
true
RESP_0049
1
2
1
1
2
2
2
2
3
3
2
2
6
4
3
3
7
true
RESP_0050
1
2
1
2
3
3
1
4
4
4
2
4
8
4
3
4
8
true
RESP_0051
1
2
1
3
2
3
2
3
6
3
2
3
6
3
2
3
7
true
RESP_0052
2
2
1
2
3
4
3
3
6
4
3
5
9
5
3
3
10
true
RESP_0053
1
1
1
3
1
3
3
4
4
4
2
4
8
3
3
2
6
true
RESP_0054
2
1
1
3
2
3
2
4
6
3
3
3
7
4
3
4
9
true
RESP_0055
1
1
1
2
2
2
3
4
5
4
3
4
7
5
3
4
7
true
RESP_0056
1
1
1
2
3
2
2
3
4
2
3
4
7
2
3
2
7
true
RESP_0057
1
2
1
2
3
3
2
3
5
4
3
3
6
4
3
4
6
true
RESP_0058
1
1
2
1
2
2
3
4
4
4
2
4
8
5
3
3
8
true
RESP_0059
1
2
2
2
2
3
2
4
5
4
2
5
6
4
3
4
7
true
RESP_0060
1
1
1
1
2
2
2
1
5
3
2
2
8
3
3
2
9
true
RESP_0061
1
1
1
1
4
2
1
2
5
3
3
3
6
3
2
3
9
true
RESP_0062
2
2
1
1
1
3
2
3
4
5
3
4
4
5
3
3
6
true
RESP_0063
1
2
1
2
2
3
2
4
4
4
2
4
8
4
3
3
8
true
RESP_0064
1
1
1
1
1
2
3
2
3
3
3
2
6
3
3
2
7
true
RESP_0065
1
2
1
3
3
2
2
2
5
3
2
2
6
3
2
1
7
true
RESP_0066
1
2
2
2
2
3
2
5
8
5
3
5
8
4
3
5
9
true
RESP_0067
2
3
1
1
3
4
2
2
6
5
3
4
7
5
3
4
8
true
RESP_0068
1
1
1
3
3
2
2
2
3
5
3
4
9
4
3
5
8
true
RESP_0069
1
1
1
2
1
2
2
2
4
2
1
3
9
3
2
2
6
true
RESP_0070
1
2
1
1
4
4
2
2
5
4
3
5
6
4
3
3
9
true
RESP_0071
1
1
1
3
4
2
2
2
6
3
2
4
6
4
3
3
9
true
RESP_0072
1
2
2
2
5
3
2
5
6
4
3
4
7
5
3
4
9
true
RESP_0073
1
2
2
2
4
3
3
5
7
5
3
4
9
5
3
4
8
true
RESP_0074
1
2
1
2
2
3
2
3
5
4
2
3
8
4
3
3
8
true
RESP_0075
1
1
1
2
3
2
2
3
3
5
3
4
7
5
2
3
9
true
RESP_0076
1
2
1
2
2
2
2
2
4
5
2
2
6
3
2
1
7
true
RESP_0077
1
1
1
2
2
2
1
3
5
3
1
3
5
3
2
2
7
true
RESP_0078
1
2
1
2
3
3
2
4
6
4
3
5
9
4
3
4
8
true
RESP_0079
2
2
1
1
1
3
1
2
3
2
2
1
4
4
3
3
7
true
RESP_0080
1
2
1
1
2
2
2
2
4
2
2
1
4
5
2
2
6
true
RESP_0081
1
2
1
1
5
4
2
3
6
3
3
5
7
5
3
4
9
true
RESP_0082
1
1
1
2
3
3
1
2
6
3
2
5
7
3
2
5
8
true
RESP_0083
1
2
1
3
5
4
3
4
8
5
3
4
7
4
3
5
10
true
RESP_0084
1
1
1
3
3
4
3
4
5
4
3
4
8
3
2
2
9
true
RESP_0085
2
2
1
2
1
3
2
3
4
3
2
3
6
3
2
2
6
true
RESP_0086
1
1
1
1
2
2
2
2
5
3
2
4
7
3
2
2
4
true
RESP_0087
1
3
1
3
4
4
2
4
6
5
3
4
10
5
3
3
10
true
RESP_0088
1
1
1
1
3
2
2
4
3
4
2
3
7
4
3
2
7
true
RESP_0089
1
2
1
3
1
3
3
4
6
5
3
4
8
5
3
4
7
true
RESP_0090
1
2
2
1
3
3
3
5
5
4
3
4
9
4
3
4
8
true
RESP_0091
1
2
2
1
4
4
2
2
3
3
2
4
9
4
3
4
6
true
RESP_0092
1
2
2
2
2
3
3
4
6
4
3
4
9
5
3
4
7
true
RESP_0093
1
1
1
1
1
2
2
1
5
3
2
3
7
3
3
3
5
true
RESP_0094
2
1
1
1
3
3
2
2
5
4
2
3
8
4
2
2
8
true
RESP_0095
1
1
1
2
4
2
1
2
4
2
2
2
6
4
2
2
6
true
RESP_0096
1
2
1
2
1
3
2
2
5
3
2
2
4
4
2
2
8
true
RESP_0097
1
1
1
1
3
2
2
1
4
3
2
3
7
5
2
2
6
true
RESP_0098
1
2
1
3
4
3
2
3
5
4
3
4
8
3
3
2
6
true
RESP_0099
1
2
1
2
2
2
2
3
5
5
3
5
8
4
2
4
9
true
RESP_0100
1
1
1
2
3
2
1
2
5
4
1
3
5
5
2
3
8
true
End of preview. Expand in Data Studio

Replication Package: Yesterday's Interviews for Today's Engineers

This repository contains the de-identified analytical data and the Python reproduction script for:

Vitalii Romaniuk. "Yesterday's Interviews for Today's Engineers: Retrospective Perceptions and a Work-Aligned Hiring Framework (2005–2026)." arXiv:2609.14046, 2026.

Paper: https://arxiv.org/abs/2609.14046

Contents

  • data/survey_responses_deidentified.csv contains the 911 retained survey records used in the analysis. It contains coded responses and arbitrary respondent identifiers; it does not contain names, contact details, employers, geography, demographic attributes, or original collection timestamps.
  • data/interview_question_benchmark_raw.csv contains the 1,001 input rows for the interview-question benchmark. The reproduction script normalizes prompt labels case-insensitively, removes repeated prompts, and excludes prompt groups with conflicting scores. This produces the 945 consistently scored unique prompts analyzed in the paper.
  • scripts/reproduce_results.py reproduces the reported descriptive statistics, repeated-measures tests, sensitivity checks, and benchmark counts using only the Python standard library.

The original form export, working notes, drafts, and collection timestamps are not part of this public package.

Reproduction

Python 3.9 or newer is recommended. No third-party packages are required.

From the repository root, run:

python3 scripts/reproduce_results.py

Survey data dictionary

The four prefixes represent Era I (P3, 2005–2010), Era II (P4, 2011–2017), Era III (P5, 2018–2022), and Era IV (P6, 2023–2026).

  • Respondent_ID: arbitrary sequential identifier with no identity mapping in this package.
  • Role: 1 = software engineer/candidate; 2 = engineering manager.
  • *_Duration: 1 = under 1 hour; 2 = 1–2 hours; 3 = 3–4 hours; 4 = 5–6 hours; 5 = 7 or more hours. The analysis uses midpoints 0.5, 1.5, 3.5, 5.5, and 7.5 hours.
  • *_Rounds: 1 = 1–2 rounds; 2 = 3–4 rounds; 3 = 5 or more rounds. The analysis codes these as 2, 4, and 5.
  • *_Alignment: interview–work disconnect on a 1–5 scale, where 1 means no disconnect/perfect alignment and 5 means extreme disconnect/completely irrelevant.
  • *_Toll: combined psychological and time burden on a 1–10 scale.
  • Submitted: retained-record marker; all released rows are True.

The survey was voluntary, anonymous, and uncompensated. Recruitment used public software-engineering communities on Reddit and LinkedIn. The sample is self-selected and is not a probability sample of the software-engineering profession. The article's methodology, appendix, and threats-to-validity sections provide the authoritative description of collection, cleaning, and interpretation.

Question benchmark

The benchmark columns are:

  • Interview Question: a short prompt or topic label.
  • Real Work Job Analogue: the closest plausible professional analogue used in the content audit.
  • Difference: a score from 1 (closely matches routine engineering work) to 5 (primarily academic, specialized, or interview-oriented).

The source pool comprised openly accessible interview-preparation material, including LeetCode, HackerRank, public GitHub repositories, public Reddit discussions, and other public preparation resources. It is not frequency-weighted. Item-level source URLs were not retained, so the exact provenance of individual prompt labels cannot be reconstructed. Public access does not imply public-domain status. See DATA_RIGHTS.md before redistributing the benchmark.

Licensing and citation

The reproduction script is licensed under the MIT License; see LICENSE. Dataset rights and third-party exclusions are described in DATA_RIGHTS.md. Please cite the paper when using this package.

@article{romaniuk2026yesterdays,
  title         = {Yesterday's Interviews for Today's Engineers: Retrospective
                   Perceptions and a Work-Aligned Hiring Framework (2005--2026)},
  author        = {Romaniuk, Vitalii},
  year          = {2026},
  eprint        = {2609.14046},
  archivePrefix = {arXiv},
  primaryClass  = {cs.SE}
}
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Paper for Kidomakai/software-engineering-interview-practices-2005-2026