软件质量保证分析师和测试员

中等风险
56%

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自动化风险
计算出的
58%
(中等风险)
投票
54%
(中等风险, 根据 465 票的投票结果)
Average: 56%
劳动力需求
增长
11.8%
到2033年
工资
$101,800
或每小时 $48.94
体积
203,040
截至 2023
摘要
这个雪花图案展示了什么?
雪花是五个徽章的视觉总结:自动化风险(计算得出)、风险(投票得出)、增长、工资和体积。它为你提供了一个职业概况的即时快照。雪花的颜色与其大小有关。与其他职业相比,某个职业的得分越好,雪花就会变得越大且越绿。
工作评分
6.3/10
这是什么?
工作评分(越高越好):

我们使用四个因素对工作进行评分。这些是:

- 被自动化的可能性
- 工作增长
- 工资
- 可用职位的数量

这些是求职时需要考虑的一些关键事项。

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计算机程序员 网页开发者 律师 平面设计师 会计师和审计师

计算自动化风险

58% (中等风险)

中等风险(41-60%):中等风险的职业通常涉及常规任务,但仍需要一些人类的判断和交互。

有关这个分数是什么以及如何计算的更多信息可在这里找到。

工作中的一些相当重要的品质难以自动化:

  • 原创性

用户投票

在接下来的二十年内,实现全自动化的可能性为54%

我们的访客投票表示,他们不确定这个职业是否会被自动化。 这个评估进一步得到了通过计算得出的自动化风险等级的支持,该等级预计有58%的机会实现自动化。

你认为自动化的风险是什么?

软件质量保证分析师和测试员在未来20年内被机器人或人工智能取代的可能性有多大?

情感

以下图表显示了在有足够投票的情况下生成的有意义数据。它展示了用户投票结果随时间的变化,清晰地指示了情感趋势。

随着时间(每年)的情绪变化

增长

相对于其他职业,非常快速的增长。

预计"Software Quality Assurance Analysts and Testers"的工作空缺数量将在2033内增长11.8%

总就业人数和预计的职位空缺

* 根据劳工统计局的数据,该数据涵盖了从2023到2033的期间。
更新的预测将在09-2025到期.

工资

相对于其他职业,薪酬非常高

在2023,'Software Quality Assurance Analysts and Testers'的年度中位数工资为$101,800,或每小时$49。

'Software Quality Assurance Analysts and Testers'的薪资比全国中位工资高111.8%,全国中位工资为$48,060。

随着时间推移的工资

* 来自美国劳工统计局的数据

体积

与其他职业相比,更大的就业机会范围

截至2023,在美国有203,040人被雇佣为'Software Quality Assurance Analysts and Testers'。

这代表了全国就业劳动力的大约0.13%

换句话说,大约每747人中就有1人被雇佣为“Software Quality Assurance Analysts and Testers”。

工作描述

开发并执行软件测试,以确定软件问题及其原因。测试系统修改以准备实施。使用错误跟踪系统记录软件和应用程序的缺陷,并向软件或网络开发人员报告缺陷。创建并维护已知缺陷的数据库。可能会参与软件设计审查,以提供有关功能要求、操作特性、产品设计和进度的输入。

SOC Code: 15-1253.00

评论 (10)

发表评论
D (低)
31 7月 2025 02:27
Perhaps it depends on the "sub-industry," but QA can be a lot more involved and specialized than people realize. Prior to working in it, I would've said it absolutely can be replaced by AI, but I think it could be argued it's even less likely than actual dev work.
Hellscythee (极有可能)
11 3月 2025 10:08
Every job can be easier for people... not everyone is prepared...not every people are good
Tejaswini (适度)
29 12月 2024 21:17
Organizations these days are removing QA teams and delegating testing tasks to the developers. There are high chances that they will incorporate AI to figure out testing scenarios as well as create automation scripts.
Cookiee2003 (适度)
20 11月 2024 10:56
I think that automation is already a big part of software testing, so in the next 20 years automation will become an even greater resource. However, replacing a human quality engineer would be very difficult. There are so many additional tasks that a tester has to take on such as communicating with people in other teams about the software that is being developed and finding out the exact requirements of the client so that they are getting exactly what they want.
tomasz (低)
11 7月 2024 19:40
I voted low because imo working as a tester is based on adaptation to the new requirements every day. There is a part of testing called automated tests, which is well known for years and all the repetitive tasks are automated, so I am highly sceptical, that AI or 'robotics' will take over QA, especially manual testing.
Nishant (低)
13 9月 2023 01:09
Few mundane tasks definitely can be automated. I guess robots fail where human judgement is of highest quality
Ariel (低)
23 6月 2023 07:27
I worked in the videogame software functionality quality assurance since 2014 and we already started working along some automated parts a long time ago. Thing is you still need a human to be creative about how to break the game and how other humans will take advantage of the games mechanics to break it. Nvm all the random crap humans do in games that automation cant anticipate a human will do?

Yes many low level positions will go away but specialists at my level who already work with some automation assistance aren't going anywhere. At the end of the day, we're the safety net in the software tech industry. Specialized testers I mean
Master of the Lamp (极有可能)
10 5月 2023 15:56
ChatGPT is changing the world and can already do my job better than I do!
And we are at 2023 not 2030!
Bob (没有机会)
08 5月 2023 19:35
Automated testing is checking. Humans are better
--- (极有可能)
08 5月 2023 18:10
STOP MAJORING IN COMPUTER SCIENCE.

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